SWIFTS (Stationary Wave Integrated Fourier Transform Spectrometer) est une nouvelle technologie innovante de spectrométrie qui permet une réduction radicale de la taille des spectromètres à Transformée de Fourier, tout en conservant, et même en améliorant leurs performances. Grâce aux avancées de l'optique intégrée et des nanotechnologies, SWIFTS repose sur une méthode de détection optique originale, sans aucune partie mobile, où des nanoplots métalliques échantillonnent directement le champ évanescent d'une onde stationnaire dans un guide d'onde.Dans cette thèse, nous proposons de présenter le cheminement complet qui a mené, en partant du concept original, au développement puis à la mise en pratique de la technologie SWIFTS. Le document illustre notamment les caractérisations optiques, les choix technologiques et les optimisations entrepris pour la réalisation de spectromètres fonctionnels dans le domaine visible et proche-infrarouge. Des procédures de calibrages novatrices et complémentaires, basées sur du multiplexage fréquentiel et sur de l'interférométrie à faible cohérence temporelle, ont été développées pour déterminer avec précision les différentes irrégularités de fabrication et de comportement de l'appareil complètement intégré. Les spectromètres calibrés permettent à présent d'aborder des applications diverses en industrie et en recherche, de la caractérisation hautes performances de lasers, à l'interrogation de capteurs fibrés à réseaux de Bragg, aux techniques de spectrométries Raman et LIBS, et de tomographie optique OCT, jusqu'aux sciences de l'Univers (géophysique, astrophysique).SWIFTS est une innovation de rupture qui, de part sa miniaturisation obtenue sans compromis avec de hautes performances d'analyse spectrale, a la capacité de faire passer la spectrométrie du stade de la mesure complexe en laboratoire à celle d'un simple composant intégré pour des applications exigeantes. / SWIFTS (Stationary Wave Integrated Fourier Transform Spectrometer) is a new innovative technology of spectrometry that allows a drastic reduction of the size of Fourier transform spectrometers, while maintaining, and even improving their performance. With advances in integrated optics and nanotechnology, SWIFTS is based on an original method of optical detection, without any moving part, where metallic nanodots directly sample the evanescent field of a standing wave in a waveguide.In this thesis, we propose to present the complete process that led, starting from the original concept, to the development and the applications of the technology. The document illustrates the optical characterizations, the technological choices and the optimizations made for the realization of functional spectrometers in the visible and near-infrared range. Innovative and complementary procedures of calibrations, based on frequency multiplexing and low coherence interferometry, have been developed to accurately determine the various irregularities of the manufacturing and of the behavior of the integrated device. The calibrated spectrometers allow to address various applications in industry and research, such as high performance characterization of lasers, interrogation of fiber Bragg gratings sensors, Raman and LIBS spectrometry, optical coherence tomography OCT, and sciences of the Universe (geophysics, astrophysics).SWIFTS is a breakthrough innovation in spectrometry, without trade-off between miniaturization and high performance, that opens the way for product development based on the most demanding applications currently performed in research laboratories.

Abstract This thesis reports on studies of plasmonic nanoparticles and particularly gold nanostars as signal enhancers and contrast agents for biophotonic applications including visualisation, treatment of living cells and chemical sensing. In this thesis, the optical properties of nanoparticles of different size and morphology and their silica composites were compared. Because they are the most suitable plasmonic nanostructures, gold nanostars were utilised for optical imaging modalities such as confocal microscopy and Doppler optical coherence tomography. The ability of gold nanoparticles to enhance the signal in surface-enhanced vibrational spectroscopy, including Raman and Fourier transform infrared spectroscopy was additionally studied. Finally, various gold nanoparticles were applied for cell optoporation to increase the penetration ability of exogeneous substances. In summary, significant advantages of nanostars such as their low-toxicity, high scattering and contrast abilities, in addition to a broad, tunable, plasmon resonance wavelength range, as well as the capability to enhance the signal of analyte molecules in vibrational spectroscopy were demonstrated in this thesis. The results of this study on the effectiveness of nanostars have a broad scope of utility and open a wide perspective for their utilisation in nanobiophotonics and biomedicine. / Tiivistelmä Tämä opinnäytetyö kertoo tutkimuksista, joissa plasmoninanopartikkeleita ja erityisesti kultananotähtiä on käytetty signaalinvahvistimina biofotoniikan sovelluksissa, kuten visualisointi, elävien solujen käsittely ja kemiallinen tunnistus. Tässä työssä verrattiin eri kokoisten ja muotoisten nanopartikkeleiden ja niiden piioksidikomposiittien optisia ominaisuuksia. Sopivimpina plasmoninanorakenteina kultananotähtiä käytettiin optisiin kuvantamismenetelmiin, kuten konfokaalimikroskopiaan ja Doppler-optiseen koherenssitomografiaan. Lisäksi kuvattiin myös kultananopartikkelien kykyä parantaa pinta-aktivoidun värähtelevän spektroskopian signaalia, mukaan lukien Raman- ja Fourier-muunnos-infrapuna-spektroskopia. Lopuksi, eri kultananopartikkeleita käytettiin soluoptoporaatioon eksogeenisten aineiden läpäisevyyden lisäämiseksi. Yhteenvetona, työssä osoitettiin nanotähtien merkittävät edut, kuten matala-myrkyllisyys, suuret sironta- ja kontrastiominaisuudet, laaja plasmoniresonanssin aallonpituusalue ja sen viritettävyys, sekä kyky parantaa analyyttimolekyylien signaalia värähtelyspektroskopiassa. Niinpä tutkimustulokset nanotähtien tehokkuudesta ovat laajasti käyttökelpoisia ja ne avaavat laajan näkökulman niiden hyödyntämiseen nanobiofotoniikassa ja biolääketieteessä.

L'imagerie par tomographie en cohérence optique (OCT) est prometteuse comme support de la prise de décision au cours des procédures d'interventions coronariennes percutanées (PCI), pou évaluer les lésions athéromateuses, juger de la bonne implantation du stent, et dépister les lésions vasculaires dues au stent. L'OCT représente donc bien une aide potentielle pour le cardiologue interventionnel tout au long de la procédure de stenting, avec un impact certain sur la stratégie interventionnelle initialement programmée. De plus, l'OCT se révèle comme un nouvel outil pour prédire la dissection des bords de stent chez les patient avec ACS sans élévation du segment ST, rendant possible une stratification des patients quant à ce risque. Des essais cliniques randomisés sont maintenant nécessaires pour savoir si l'assistance par l'OCT pendant la procédure améliore le pronostic à long terme des patients après PCI / Optical Coherence Tomography (OCT) imaging is promising in decision making during Percutaneus Coronary Interventions {PCI) procedures, including evaluating controversial plaque lesions, assessing stent implantation, and surveying stent-related vascular injury. Thus, OCT has potential to guide interventional cardiologists throughout the stent implantation procedure, impacting on planned interventional strategy. In addition, OCT is the most novel image technology to predict stent edge dissection for patients with non-ST-segment elevation ACS, enabling risk stratification of patients who are at a higher risk of this complication. Large-scale randomized trials are now warranted to assess whether OCT results and guidance during de procedure improve long-term clinical outcomes of PCis.

Introdução: a ataxia espinocerebelar tipo 7 (SCA7) é um distúrbio neurodegenerativo autossômico dominante causado por uma repetição CAG expandida (CAGexp) no gene ATXN7, resultando na inserção de uma poliglutamina (poliQ) alongada na proteína ataxina-7. Em consequência, pacientes com SCA7 desenvolvem ataxia, espasticidade e outros sintomas neurológicos. A SCA 7 se destaca de outras SCAs por se associar à distrofia retiniana, causando deficiências visuais que podem levar à cegueira. Sendo uma das mais raras SCAs, pequenas séries de casos têm aparecido na literatura. Poucas delas buscaram correlacionar os achados neurológicos com os oftalmológicos; e a fase pré-clínica jamais foi sistematicamente investigada. Objetivo: descrever os achados neurológicos e oftalmológicos de uma coorte de casos de SCA 7, comparando as manifestações encontradas em sujeitos sintomáticos com as encontradas em portadores assintomáticos e em parentes não portadores, em uma abordagem exploratória que buscou levantar potenciais biomarcadores de progressão da doença. Métodos: trata-se de um estudo transversal onde pacientes com diagnóstico molecular de SCA7 realizado na nossa instituição foram identificados em nossos arquivos protegidos. Tanto eles como seus parentes foram convidados a participar da presente investigação. Sujeitos em risco de 50% foram incluídos se tivessem mais de 18 anos. Após o consentimento, dados clínicos e demográficos foram coletados entre junho de 2016 e setembro de 2017. A seguir, todos os participantes realizaram uma bateria de escalas clínicas voltadas à medida da ataxia (SARA, CCFS, PATA e 8 MW) e das manifestações neurológicas (NESSCA e INAS); um questionário de qualidade de vida relacionada à visão (NEI-VFQ 25); avaliação da acuidade visual melhor corrigida (AVMC), desvio médio em campimetria computadorizada (MD) e espessuras da mácula e da camada de células ganglionares na tomografia de coerência óptica (OCT). A escala SARA e a AVMC foram escolhidas como as variáveis de referência para a gravidade dos quadros. A análise molecular do ATXN7 foi feita, mas participantes do estudo e avaliadores foram mantidos cegos para seus resultados; os indivíduos em risco interessados em receber seus resultados foram enviados para o programa de testes pré-sintomáticos. Como não houve critérios a priori para estimar tamanhos de efeito e como a SCA7 é uma condição rara, não houve como decidir um tamanho de amostra. O estudo foi exploratório e por isso não foram feitas correções para múltiplas testagens. Um p de 0,05 foi eleito para definir significância, e testes estatísticos foram aplicados de acordo com as características das variáveis em estudo. Resultados: 12 portadores sintomáticos (grupo 2) e 8 indivíduos em risco (3 portadores - grupo 1 - e 5 não-portadores - grupo 0) foram incluídos neste estudo. Todas as variáveis contínuas à exceção da CAGexp tiveram distribuição 4 normal. A AVMC estava reduzida em todos os participantes sintomáticos e claramente diferente entre estes e os outros dois grupos (p <0,0001, ANOVA), enquanto os portadores assintomáticos e os não portadores tiveram resultados semelhantes. A AVMC média foi 20/143, 20/18 e 20/20 nos grupos 2, 1 e 0, respectivamente. Não surpreendentemente, o NEI-VFQ 25 também demonstrou uma diferença estatisticamente significativa, mas o que foi inesperado foi a forma progressivamente diferente entre os 3 grupos (grupo 0 = 92,76 ± 6,7; grupo 1 = 74,9 ± 55,5; grupo 2 = 58,0 ± 21,3) (p= 0,012, ANOVA com Tukey) O MD mostrou um padrão linear estatisticamente significativo para piorar do grupo controle (-1,34 ± 1,15dB) para o assintomático (-2,81 ± 1,66dB) e do grupo assintomático para sintomático (-10,54 ± 6,95dB) (p = 0,027, ANOVA com Tukey). Além disso, o MD correlacionou-se com a AVMC (p = 0,020; r = 0,660) e apresentou tendência de correlação com a SARA (p= 0,073; r= -0,535). As medidas de espessura macular distinguem completamente os 3 grupos (grupo 0 = 243,6 ± 22,2 μ; grupo 1 = 204,5 ± 14,1 μ; grupo 2 = 137,95 ± 34,6 μ) (p = 0,0001, ANOVA) e também se correlacionou significativamente com os dois critérios planejados de gravidade, SARA (p = 0,050; r = -0,577) e AVMC (p = 0,007; r = 0,730). Discussão: alterações oftalmológicas estavam presentes já nas fases pré-clínicas da doença, quando os escores obtidos das escalas neurológicas ainda não distinguem portadores assintomáticos de não portadores: a espessura macular medida por OCT e o MD medido pela campimetria computadorizada. Esses achados demonstram que o processo neurodegenerativo já se encontra em curso e é detectável por essas medidas anatômicas e funcionais da retina. Além disso, ambas as alterações detectadas em fases pré-clínicas, ao serem estudadas no grupo total de portadores sintomáticos e assintomáticos, se correlacionaram com os nossos padrões-ouro da gravidade da doença, SARA e AVMC. Os dois achados - início em fase pré-clínica e correlação com a progressão da doença medida por escores independentes - sugerem que a espessura macular medida por OCT e o MD medido pela campimetria computadorizada são potenciais candidatos a biomarcadores de estado (de progressão da doença) desde fases pré-manifestas na SCA7. / Background: spinocerebellar ataxia type 7 (SCA7) is an autosomal dominant neurodegenerative disorder caused by an expanded CAG repeat (CAGexp) at ATXN7 gene, resulting in the insertion of an elongated polyglutamine (polyQ) into the ataxin-7 protein. As a consequence, patients with SCA7 develop ataxia, spasticity and other neurological symptoms. SCA7 stands out from other SCAs by associating it with retinal dystrophy, causing visual deficiencies that can lead to blindness. Being one of the rarest SCAs, small series of cases appear in the literature. Few of them sought to correlate neurological findings with ophthalmologic findings; and the preclinical stage has never been systematically investigated. Objective: to describe the neurological and ophthalmological findings of a cohort of cases of SCA7, comparing the manifestations found in symptomatic subjects with those found in asymptomatic carriers and in non-carrier relatives in an approach exploratory study that sought to raise potential biomarkers of disease progression. Methods: patients with a molecular diagnosis of SCA7 performed at our institution were identified in our protected files. Both they and their relatives were invited to participate in the present investigation. Subjects at risk of 50% were included if they were older than 18 years. After consent, clinical and demographic data were collected between June 2016 and September 2017. All participants then performed a battery of clinical scales aimed at the measurement of ataxia (SARA, CCFS, PATA and 8 MW) and neurological manifestations (NESSCA and INAS); a visual function questionnaire (NEI-VFQ 25); assessment of better corrected visual acuity (AVMC), mean deviation in computerized campimetry (MD), and thickness of the macula and ganglion cell layer on OCT. The SARA and AVMC scale were chosen as the reference variables for the severity of the frames. Molecular analysis of ATXN7 was done, but study participants and evaluators were kept blind to their results; the individuals at risk interested in receiving their results were sent to the presymptomatic testing program. As there were no a priori criteria for estimating effect sizes and because SCA7 is a rare condition, there was no way to decide on a sample size. The study was exploratory and therefore no corrections were made for multiple tests. A p of 0.05 was chosen to define significance, and statistical tests were applied according to the characteristics of the variables under study. Results: 12 symptomatic carriers (group 2) and 8 individuals at risk (5 carriers - group 1 - and 3 non-carriers - group 0) were included in this study between June 2016 and September 2017. All continuous variables with the exception of CAGexp had normal distribution. AVMC was reduced in all symptomatic participants and clearly different between these and the other two groups (p <0.0001, ANOVA), while asymptomatic and non-carriers had similar results. The mean BCVA was 20/143, 20/18 and 20/20 in groups 2,1 and 6 0, respectively. Not surprisingly, NEI-VFQ 25 also showed a statistically significant difference, but what was unexpected was the progressively different form between the 3 groups (group 0 = 92.76 ± 6.7, group 1 = 74.9 ± 55, 5, group 2 = 58.0 ± 21.3) (p = 0.012, ANOVA with Tukey). The MD showed a statistically significant linear pattern to worsen from the control group (-1.34 ± 1.15dB) to the asymptomatic (-2.81 ± 1.66dB) and from the asymptomatic to the symptomatic group (-10.54 ± 6, 95dB) (p = 0.027, ANOVA with Tukey). In addition, MD correlated with AVMC (p = 0.020; r = 0.660) and showed a correlation tendency with ARDS (p = 0.073; r = -0.535). The macular thickness scores completely distinguish the 3 groups (group 0 = 243.6 ± 22.2 μ, group 1 = 204.5 ± 14.1 μ, group 2 = 137.95 ± 34.6 μ) (p = 0.0001, ANOVA ...) and also correlated significantly with the two planned criteria of severity, SARA (p = 0.050, r = -0.577) and AVMC (p = 0.007, r = 0.730). Conclusion: ophthalmologic changes were present already in the preclinical stages of the disease, when the scores obtained from the neurological scales did not yet distinguish asymptomatic non-carrier patients: macular thickness measured by OCT and MD measured by computerized campimetry. These findings demonstrate that the neurodegenerative process is already underway and is detectable by these anatomical and functional measures of the retina. In addition, both changes detected in preclinical stages, when studied in the total group of symptomatic and asymptomatic carriers, correlated with our gold standard of disease severity, SARA and AVMC. The two findings - pre-clinical onset and correlation with disease progression measured by independent scores - suggest that the macular thickness measured by OCT and MD as measured by computerized campimetry are potential candidates for disease biomarkers (disease progression) from pre-manifest stages in SCA7.

Introdução: a ataxia espinocerebelar tipo 7 (SCA7) é um distúrbio neurodegenerativo autossômico dominante causado por uma repetição CAG expandida (CAGexp) no gene ATXN7, resultando na inserção de uma poliglutamina (poliQ) alongada na proteína ataxina-7. Em consequência, pacientes com SCA7 desenvolvem ataxia, espasticidade e outros sintomas neurológicos. A SCA 7 se destaca de outras SCAs por se associar à distrofia retiniana, causando deficiências visuais que podem levar à cegueira. Sendo uma das mais raras SCAs, pequenas séries de casos têm aparecido na literatura. Poucas delas buscaram correlacionar os achados neurológicos com os oftalmológicos; e a fase pré-clínica jamais foi sistematicamente investigada. Objetivo: descrever os achados neurológicos e oftalmológicos de uma coorte de casos de SCA 7, comparando as manifestações encontradas em sujeitos sintomáticos com as encontradas em portadores assintomáticos e em parentes não portadores, em uma abordagem exploratória que buscou levantar potenciais biomarcadores de progressão da doença. Métodos: trata-se de um estudo transversal onde pacientes com diagnóstico molecular de SCA7 realizado na nossa instituição foram identificados em nossos arquivos protegidos. Tanto eles como seus parentes foram convidados a participar da presente investigação. Sujeitos em risco de 50% foram incluídos se tivessem mais de 18 anos. Após o consentimento, dados clínicos e demográficos foram coletados entre junho de 2016 e setembro de 2017. A seguir, todos os participantes realizaram uma bateria de escalas clínicas voltadas à medida da ataxia (SARA, CCFS, PATA e 8 MW) e das manifestações neurológicas (NESSCA e INAS); um questionário de qualidade de vida relacionada à visão (NEI-VFQ 25); avaliação da acuidade visual melhor corrigida (AVMC), desvio médio em campimetria computadorizada (MD) e espessuras da mácula e da camada de células ganglionares na tomografia de coerência óptica (OCT). A escala SARA e a AVMC foram escolhidas como as variáveis de referência para a gravidade dos quadros. A análise molecular do ATXN7 foi feita, mas participantes do estudo e avaliadores foram mantidos cegos para seus resultados; os indivíduos em risco interessados em receber seus resultados foram enviados para o programa de testes pré-sintomáticos. Como não houve critérios a priori para estimar tamanhos de efeito e como a SCA7 é uma condição rara, não houve como decidir um tamanho de amostra. O estudo foi exploratório e por isso não foram feitas correções para múltiplas testagens. Um p de 0,05 foi eleito para definir significância, e testes estatísticos foram aplicados de acordo com as características das variáveis em estudo. Resultados: 12 portadores sintomáticos (grupo 2) e 8 indivíduos em risco (3 portadores - grupo 1 - e 5 não-portadores - grupo 0) foram incluídos neste estudo. Todas as variáveis contínuas à exceção da CAGexp tiveram distribuição 4 normal. A AVMC estava reduzida em todos os participantes sintomáticos e claramente diferente entre estes e os outros dois grupos (p <0,0001, ANOVA), enquanto os portadores assintomáticos e os não portadores tiveram resultados semelhantes. A AVMC média foi 20/143, 20/18 e 20/20 nos grupos 2, 1 e 0, respectivamente. Não surpreendentemente, o NEI-VFQ 25 também demonstrou uma diferença estatisticamente significativa, mas o que foi inesperado foi a forma progressivamente diferente entre os 3 grupos (grupo 0 = 92,76 ± 6,7; grupo 1 = 74,9 ± 55,5; grupo 2 = 58,0 ± 21,3) (p= 0,012, ANOVA com Tukey) O MD mostrou um padrão linear estatisticamente significativo para piorar do grupo controle (-1,34 ± 1,15dB) para o assintomático (-2,81 ± 1,66dB) e do grupo assintomático para sintomático (-10,54 ± 6,95dB) (p = 0,027, ANOVA com Tukey). Além disso, o MD correlacionou-se com a AVMC (p = 0,020; r = 0,660) e apresentou tendência de correlação com a SARA (p= 0,073; r= -0,535). As medidas de espessura macular distinguem completamente os 3 grupos (grupo 0 = 243,6 ± 22,2 μ; grupo 1 = 204,5 ± 14,1 μ; grupo 2 = 137,95 ± 34,6 μ) (p = 0,0001, ANOVA) e também se correlacionou significativamente com os dois critérios planejados de gravidade, SARA (p = 0,050; r = -0,577) e AVMC (p = 0,007; r = 0,730). Discussão: alterações oftalmológicas estavam presentes já nas fases pré-clínicas da doença, quando os escores obtidos das escalas neurológicas ainda não distinguem portadores assintomáticos de não portadores: a espessura macular medida por OCT e o MD medido pela campimetria computadorizada. Esses achados demonstram que o processo neurodegenerativo já se encontra em curso e é detectável por essas medidas anatômicas e funcionais da retina. Além disso, ambas as alterações detectadas em fases pré-clínicas, ao serem estudadas no grupo total de portadores sintomáticos e assintomáticos, se correlacionaram com os nossos padrões-ouro da gravidade da doença, SARA e AVMC. Os dois achados - início em fase pré-clínica e correlação com a progressão da doença medida por escores independentes - sugerem que a espessura macular medida por OCT e o MD medido pela campimetria computadorizada são potenciais candidatos a biomarcadores de estado (de progressão da doença) desde fases pré-manifestas na SCA7. / Background: spinocerebellar ataxia type 7 (SCA7) is an autosomal dominant neurodegenerative disorder caused by an expanded CAG repeat (CAGexp) at ATXN7 gene, resulting in the insertion of an elongated polyglutamine (polyQ) into the ataxin-7 protein. As a consequence, patients with SCA7 develop ataxia, spasticity and other neurological symptoms. SCA7 stands out from other SCAs by associating it with retinal dystrophy, causing visual deficiencies that can lead to blindness. Being one of the rarest SCAs, small series of cases appear in the literature. Few of them sought to correlate neurological findings with ophthalmologic findings; and the preclinical stage has never been systematically investigated. Objective: to describe the neurological and ophthalmological findings of a cohort of cases of SCA7, comparing the manifestations found in symptomatic subjects with those found in asymptomatic carriers and in non-carrier relatives in an approach exploratory study that sought to raise potential biomarkers of disease progression. Methods: patients with a molecular diagnosis of SCA7 performed at our institution were identified in our protected files. Both they and their relatives were invited to participate in the present investigation. Subjects at risk of 50% were included if they were older than 18 years. After consent, clinical and demographic data were collected between June 2016 and September 2017. All participants then performed a battery of clinical scales aimed at the measurement of ataxia (SARA, CCFS, PATA and 8 MW) and neurological manifestations (NESSCA and INAS); a visual function questionnaire (NEI-VFQ 25); assessment of better corrected visual acuity (AVMC), mean deviation in computerized campimetry (MD), and thickness of the macula and ganglion cell layer on OCT. The SARA and AVMC scale were chosen as the reference variables for the severity of the frames. Molecular analysis of ATXN7 was done, but study participants and evaluators were kept blind to their results; the individuals at risk interested in receiving their results were sent to the presymptomatic testing program. As there were no a priori criteria for estimating effect sizes and because SCA7 is a rare condition, there was no way to decide on a sample size. The study was exploratory and therefore no corrections were made for multiple tests. A p of 0.05 was chosen to define significance, and statistical tests were applied according to the characteristics of the variables under study. Results: 12 symptomatic carriers (group 2) and 8 individuals at risk (5 carriers - group 1 - and 3 non-carriers - group 0) were included in this study between June 2016 and September 2017. All continuous variables with the exception of CAGexp had normal distribution. AVMC was reduced in all symptomatic participants and clearly different between these and the other two groups (p <0.0001, ANOVA), while asymptomatic and non-carriers had similar results. The mean BCVA was 20/143, 20/18 and 20/20 in groups 2,1 and 6 0, respectively. Not surprisingly, NEI-VFQ 25 also showed a statistically significant difference, but what was unexpected was the progressively different form between the 3 groups (group 0 = 92.76 ± 6.7, group 1 = 74.9 ± 55, 5, group 2 = 58.0 ± 21.3) (p = 0.012, ANOVA with Tukey). The MD showed a statistically significant linear pattern to worsen from the control group (-1.34 ± 1.15dB) to the asymptomatic (-2.81 ± 1.66dB) and from the asymptomatic to the symptomatic group (-10.54 ± 6, 95dB) (p = 0.027, ANOVA with Tukey). In addition, MD correlated with AVMC (p = 0.020; r = 0.660) and showed a correlation tendency with ARDS (p = 0.073; r = -0.535). The macular thickness scores completely distinguish the 3 groups (group 0 = 243.6 ± 22.2 μ, group 1 = 204.5 ± 14.1 μ, group 2 = 137.95 ± 34.6 μ) (p = 0.0001, ANOVA ...) and also correlated significantly with the two planned criteria of severity, SARA (p = 0.050, r = -0.577) and AVMC (p = 0.007, r = 0.730). Conclusion: ophthalmologic changes were present already in the preclinical stages of the disease, when the scores obtained from the neurological scales did not yet distinguish asymptomatic non-carrier patients: macular thickness measured by OCT and MD measured by computerized campimetry. These findings demonstrate that the neurodegenerative process is already underway and is detectable by these anatomical and functional measures of the retina. In addition, both changes detected in preclinical stages, when studied in the total group of symptomatic and asymptomatic carriers, correlated with our gold standard of disease severity, SARA and AVMC. The two findings - pre-clinical onset and correlation with disease progression measured by independent scores - suggest that the macular thickness measured by OCT and MD as measured by computerized campimetry are potential candidates for disease biomarkers (disease progression) from pre-manifest stages in SCA7.

OBJETIVO: Investigar a correlação entre as espessuras da mácula e da camada de fibras nervosas da retina (CFNR), medidas pelas tomografias de coerência óptica de domínio Fourier (FD - OCT) e de domínio do tempo (TD - OCT) e a perda de sensibilidade no campo visual (CV) em pacientes com atrofia em banda do nervo óptico. Comparar a habilidade diagnóstica dos dois instrumentos. MÉTODOS: 36 olhos de 36 pacientes com perda de CV permanente por compressão do quiasma óptico e 36 controles normais foram submetidos ao exame de CV pela perimetria automatizada padrão (Humphrey Field Analyzer TM; Carl Zeiss Meditec, Dublin, CA), ao FD - OCT (3 D OCT-1000TM Topcon Corp., Tokyo, Japan) e ao TD - OCT (StratusTM ;Carl Zeiss Meditec Inc, Dublin, California, USA). Foram comparados os protocolos análogos de ambos os equipamentos para avaliação da espessura macular.Foi realizado a divisão macular em quatro quadrantes e em metades, sendo calculado a média da espessura macular global, a média da espessura dos quadrantes e a média da espessura das metades maculares. A média global e setorial da medida da espessura da CFNR peripapilar também foi analisada. A perda de sensibilidade no CV foi inicialmente avaliada pelo defeito temporal médio. O CV foi ainda dividido em 6 setores de acordo com a distribuição da CFNR e em 16 pontos centrais para a realização da correlação estrutura-função entre os parâmetros medidos pelo FD - OCT e a perda de sensibilidade no CV em decibéis e 1/Lambert. Foi calculado o coeficiente de correlação de Sperman e a análise de regressão linear. As áreas sobre a curva ROC e valores fixos de sensibilidade e especificidade foram calculados para cada parâmetro estudado. RESULTADOS: As medidas da espessura macular e da CFNR pelo FD - OCT e TD - OCT foram capazes de discriminar olhos com atrofia em banda do nervo óptico dos controles normais. A espessura global e setorial dos parâmetros maculares e da CFNR mostraram diferenças significativas (p<0,001) entre os doentes e os controles e os dois aparelhos tiveram desempenho semelhante na discriminação entre pacientes e controles. Em ambos existiram correlações significativas entre a perda de sensibilidade do CV e as medidas da espessura macular e da CFNR. As medidas de espessura nos quadrantes e nas metades nasais da macula, avaliadas pelo FD - OCT tiveram os melhores desempenhos nas correlações com os defeitos de CV, sendo o parâmetro com a melhor correlação, a medida do quadrante infero-nasal da mácula e a perda de sensibilidade do CV central do quadrante temporal superior central (r = 0.78, R2 = 61%, p<0,001). CONCLUSÕES: A espessura macular e a espessura da CFNR medidas pelo FD - OCT e pelo TD - OCT se correlacionaram topograficamente com a perda de sensibilidade no CV de pacientes com hemianopsia temporal por compressäo quiasmática. A correlação entre os quadrantes maculares e a perda de sensibilidade no CV, foram melhores do que aquelas entre o CV e as medidas da CFNR, principalmente nas medidas realizadas pelo FD - OCT. Este estudo demonstrou a importância clínica das medidas maculares na correlação estrutura-função e na quantificaçäo do dano neural em pacientes com compressão quiasmática, podendo ser útil na monitorização destes pacientes / PURPOSE: To investigate the relationship between fourier-domain optical coherence tomography (FD - OCT) measured macular and retinal nerve fiber layer thickness (RNFL) and visual field sensitivity loss on standard automated perimetry in eyes with permanent temporal hemianopia from chiasmal compression and compare the ability of FD - OCT and time-domain optical coherence tomography (TD - OCT) to detect axonal loss in eyes with band atrophy of the optic nerve. METHODS: One eye of each of 36 patients with permanent temporal visual field defects and 36 age- and sex-matched healthy subjects. Subjects underwent standard automated perimetry and macular and RNFL thickness measurements with FD - OCT (3 D OCT-1000® Topcon Corp., Tokyo, Japan) and TD - OCT (Stratus; Carl Zeiss Meditec Inc, Dublin, California, USA). Macular thickness measurements as a global average, divided in four quadrants and in two halves as well as average and sectoral RNFL thickness around the optic disc were calculated. Visual field sensitivity loss was evaluated by the temporal mean defect; as deviations from normal in six sectors of the visual field and in 16 central visual field test points. Relationship between visual field sensitivity loss in decibel and 1/Lambert units and optical coherence tomography measurements were evaluated using Spearman correlation coefficients and by linear regression analysis. Receiver operating characteristic curves and sensitivities at fixed specificities were calculated for each parameter. RESULTS: Global and sectoral macular and RNFL thickness parameters showed a significant difference in eyes with band atrophy compared with controls. The strongest correlations were seen between visual field sensitivity loss and quadrantic or hemianopic nasal macular thickness measurements than with sectoral retinal nerve fiber layer thickness measurements. The highest correlation was observed between the inferonasal quadrant macular thickness and the visual field sensitivity loss in the superior temporal central visual field quadrant (r = 0.78, R2 = 61%, p <0.001). CONCLUSION: Both RNFL thickness and macular thickness FD - OCT and TD - OCT measurements were related topographically with visual field sensitivity loss in patients with temporal hemianopia from chiasmal compression and there is a stronger relationship in quadrantic macular compared to RNFL thickness measurements with FD - OCT. Macular thickness measurements could potentially be used to quantify neuronal loss in patients with chiasmal compression and could prove clinically useful for detection of damage and for monitoring these patients

Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the denoising problem as one of estimating the underlying clean signal from noisy measurements by minimizing a risk corresponding to a chosen loss function. Our goal is to incorporate perceptually-motivated loss functions wherever applicable, as in the case of speech enhancement, with the squared error loss being considered for the other scenarios. Since the true risks are observed to depend on the unknown parameter of interest, we circumvent the roadblock by deriving finite-sample un-biased estimators of the corresponding risks based on Stein’s lemma. We establish the link with the multivariate parameter estimation problem addressed by Stein and our denoising problem, and derive estimators of the oracle risks. In all cases, optimum values of the parameters characterizing the denoising algorithm are determined by minimizing the Stein’s unbiased risk estimator (SURE). The key contribution of this thesis is the development of a risk-estimation approach for choosing the two critical parameters affecting the quality of nonparametric regression, namely, the order and bandwidth/smoothing parameters. This is a classic problem in statistics, and certain algorithms relying on derivation of suitable finite-sample risk estimators for minimization have been reported in the literature (note that all these works consider the mean squared error (MSE) objective). We show that a SURE-based formalism is well-suited to the regression parameter selection problem, and that the optimum solution guarantees near-minimum MSE (MMSE) performance. We develop algorithms for both glob-ally and locally choosing the two parameters, the latter referred to as spatially-adaptive regression. We observe that the parameters are so chosen as to tradeoff the squared bias and variance quantities that constitute the MSE. We also indicate the advantages accruing out of incorporating a regularization term in the cost function in addition to the data error term. In the more general case of kernel regression, which uses a weighted least-squares (LS) optimization, we consider the applications of image restoration from very few random measurements, in addition to denoising of uniformly sampled data. We show that local polynomial regression (LPR) becomes a special case of kernel regression, and extend our results for LPR on uniform data to non-uniformly sampled data also. The denoising algorithms are compared with other standard, performant methods available in the literature both in terms of estimation error and computational complexity. A major perspective provided in this thesis is that the problem of optimum parameter choice in nonparametric regression can be viewed as the selection of optimum parameters of a linear, shift-invariant filter. This interpretation is provided by deriving motivation out of the hallmark paper of Savitzky and Golay and Schafer’s recent article in IEEE Signal Processing Magazine. It is worth noting that Savitzky and Golay had shown in their original Analytical Chemistry journal article, that LS fitting of a fixed-order polynomial over a neighborhood of fixed size is equivalent to convolution with an impulse response that is fixed and can be pre-computed. They had provided tables of impulse response coefficients for computing the smoothed function and smoothed derivatives for different orders and neighborhood sizes, the resulting filters being referred to as Savitzky-Golay (S-G) filters. Thus, we provide the new perspective that the regression parameter choice is equivalent to optimizing for the filter impulse response length/3dB bandwidth, which are inversely related. We observe that the MMSE solution is such that the S-G filter chosen is of longer impulse response length (equivalently smaller cutoff frequency) at relatively flat portions of the noisy signal so as to smooth noise, and vice versa at locally fast-varying portions of the signal so as to capture the signal patterns. Also, we provide a generalized S-G filtering viewpoint in the case of kernel regression. Building on the S-G filtering perspective, we turn to the problem of dynamic feature computation in speech recognition. We observe that the methodology employed for computing dynamic features from the trajectories of static features is in fact derivative S-G filtering. With this perspective, we note that the filter coefficients can be pre-computed, and that the whole problem of delta feature computation becomes efficient. Indeed, we observe an advantage by a factor of 104 on making use of S-G filtering over actual LS polynomial fitting and evaluation. Thereafter, we study the properties of first-and second-order derivative S-G filters of certain orders and lengths experimentally. The derivative filters are bandpass due to the combined effects of LPR and derivative computation, which are lowpass and highpass operations, respectively. The first-and second-order S-G derivative filters are also observed to exhibit an approximately constant-Q property. We perform a TIMIT phoneme recognition experiment comparing the recognition accuracies obtained using S-G filters and the conventional approach followed in HTK, where Furui’s regression formula is made use of. The recognition accuracies for both cases are almost identical, with S-G filters of certain bandwidths and orders registering a marginal improvement. The accuracies are also observed to improve with longer filter lengths, for a particular order. In terms of computation latency, we note that S-G filtering achieves delta and delta-delta feature computation in parallel by linear filtering, whereas they need to be obtained sequentially in case of the standard regression formulas used in the literature. Finally, we turn to the problem of speech enhancement where we are interested in de-noising using perceptually-motivated loss functions such as Itakura-Saito (IS). We propose to perform enhancement in the discrete cosine transform domain using risk-minimization. The cost functions considered are non-quadratic, and derivation of the unbiased estimator of the risk corresponding to the IS distortion is achieved using an approximate Taylor-series analysis under high signal-to-noise ratio assumption. The exposition is general since we focus on an additive noise model with the noise density assumed to fall within the exponential class of density functions, which comprises most of the common densities. The denoising function is assumed to be pointwise linear (modified James-Stein (MJS) estimator), and parallels between Wiener filtering and the optimum MJS estimator are discussed.

Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the denoising problem as one of estimating the underlying clean signal from noisy measurements by minimizing a risk corresponding to a chosen loss function. Our goal is to incorporate perceptually-motivated loss functions wherever applicable, as in the case of speech enhancement, with the squared error loss being considered for the other scenarios. Since the true risks are observed to depend on the unknown parameter of interest, we circumvent the roadblock by deriving finite-sample un-biased estimators of the corresponding risks based on Stein’s lemma. We establish the link with the multivariate parameter estimation problem addressed by Stein and our denoising problem, and derive estimators of the oracle risks. In all cases, optimum values of the parameters characterizing the denoising algorithm are determined by minimizing the Stein’s unbiased risk estimator (SURE). The key contribution of this thesis is the development of a risk-estimation approach for choosing the two critical parameters affecting the quality of nonparametric regression, namely, the order and bandwidth/smoothing parameters. This is a classic problem in statistics, and certain algorithms relying on derivation of suitable finite-sample risk estimators for minimization have been reported in the literature (note that all these works consider the mean squared error (MSE) objective). We show that a SURE-based formalism is well-suited to the regression parameter selection problem, and that the optimum solution guarantees near-minimum MSE (MMSE) performance. We develop algorithms for both glob-ally and locally choosing the two parameters, the latter referred to as spatially-adaptive regression. We observe that the parameters are so chosen as to tradeoff the squared bias and variance quantities that constitute the MSE. We also indicate the advantages accruing out of incorporating a regularization term in the cost function in addition to the data error term. In the more general case of kernel regression, which uses a weighted least-squares (LS) optimization, we consider the applications of image restoration from very few random measurements, in addition to denoising of uniformly sampled data. We show that local polynomial regression (LPR) becomes a special case of kernel regression, and extend our results for LPR on uniform data to non-uniformly sampled data also. The denoising algorithms are compared with other standard, performant methods available in the literature both in terms of estimation error and computational complexity. A major perspective provided in this thesis is that the problem of optimum parameter choice in nonparametric regression can be viewed as the selection of optimum parameters of a linear, shift-invariant filter. This interpretation is provided by deriving motivation out of the hallmark paper of Savitzky and Golay and Schafer’s recent article in IEEE Signal Processing Magazine. It is worth noting that Savitzky and Golay had shown in their original Analytical Chemistry journal article, that LS fitting of a fixed-order polynomial over a neighborhood of fixed size is equivalent to convolution with an impulse response that is fixed and can be pre-computed. They had provided tables of impulse response coefficients for computing the smoothed function and smoothed derivatives for different orders and neighborhood sizes, the resulting filters being referred to as Savitzky-Golay (S-G) filters. Thus, we provide the new perspective that the regression parameter choice is equivalent to optimizing for the filter impulse response length/3dB bandwidth, which are inversely related. We observe that the MMSE solution is such that the S-G filter chosen is of longer impulse response length (equivalently smaller cutoff frequency) at relatively flat portions of the noisy signal so as to smooth noise, and vice versa at locally fast-varying portions of the signal so as to capture the signal patterns. Also, we provide a generalized S-G filtering viewpoint in the case of kernel regression. Building on the S-G filtering perspective, we turn to the problem of dynamic feature computation in speech recognition. We observe that the methodology employed for computing dynamic features from the trajectories of static features is in fact derivative S-G filtering. With this perspective, we note that the filter coefficients can be pre-computed, and that the whole problem of delta feature computation becomes efficient. Indeed, we observe an advantage by a factor of 104 on making use of S-G filtering over actual LS polynomial fitting and evaluation. Thereafter, we study the properties of first-and second-order derivative S-G filters of certain orders and lengths experimentally. The derivative filters are bandpass due to the combined effects of LPR and derivative computation, which are lowpass and highpass operations, respectively. The first-and second-order S-G derivative filters are also observed to exhibit an approximately constant-Q property. We perform a TIMIT phoneme recognition experiment comparing the recognition accuracies obtained using S-G filters and the conventional approach followed in HTK, where Furui’s regression formula is made use of. The recognition accuracies for both cases are almost identical, with S-G filters of certain bandwidths and orders registering a marginal improvement. The accuracies are also observed to improve with longer filter lengths, for a particular order. In terms of computation latency, we note that S-G filtering achieves delta and delta-delta feature computation in parallel by linear filtering, whereas they need to be obtained sequentially in case of the standard regression formulas used in the literature. Finally, we turn to the problem of speech enhancement where we are interested in de-noising using perceptually-motivated loss functions such as Itakura-Saito (IS). We propose to perform enhancement in the discrete cosine transform domain using risk-minimization. The cost functions considered are non-quadratic, and derivation of the unbiased estimator of the risk corresponding to the IS distortion is achieved using an approximate Taylor-series analysis under high signal-to-noise ratio assumption. The exposition is general since we focus on an additive noise model with the noise density assumed to fall within the exponential class of density functions, which comprises most of the common densities. The denoising function is assumed to be pointwise linear (modified James-Stein (MJS) estimator), and parallels between Wiener filtering and the optimum MJS estimator are discussed.

Fundamentos: A caracterização precisa da interação da placa aterosclerótica no momento do implante do stent é crucial para o entendimento da complacência e da cicatrização vasculares. Objetivamos investigar se a composição da placa avaliada pela tomografia de coerência óptica (OCT), influencia as alterações agudas no procedimento índice do implante do stent e na cicatrização vascular no seguimento tardio. Métodos: Os pacientes tratados com um único tipo de stent eluidor de fármaco (cromo cobalto, eluidor de sirolimus e polímero bioabsorvível) foram incluídos prospectivamente, seguindo um protocolo com etapas de dilatações progressivas do vaso. As imagens de OCT sequenciais foram realizadas no procedimento índice (basal e a cada etapa do protocolo) e no seguimento tardio, co-registradas e analisadas a cada 0,6mm. A avaliação semiquantitativa da placa foi realizada dividindo-se secções transversas em 4 quadrantes, com cada quadrante rotulado de acordo com o seu componente mais prevalente (fibrótico, calcificado, lipídico, normal). A interação stent-vaso avaliada pela OCT foi utilizada como indicador substituto para lesão e cicatrização vasculares após o implante do stent. Resultados: Um total de 22 lesões (1stent/lesão) de 20 pacientes e 2298 seções transversas de OCT foram analisadas no procedimento índice. O reestudo com OCT foi realizado em 17 pacientes e 19 lesões (86%). O componente de placa predominante foi fibrótico (fibrótico = 46.84 ± 16%; lipídico = 17.63 ± 10.72%; calcificado = 4.63 ± 5.9%; normal = 29.16 ± 12.24; não analizável=1.74 ± 5.35%). Houve um aumento nas áreas da luz (10atm = 5.5 (4.5 - 7.4) mm2, 14-16atm = 6.0 (4.7 - 7.70) mm2, 20atm = 6.7 (5.5 - 8.2) mm2; P < 0.001) e do stent (10atm = 5.2 (4.3 - 7.0) mm2, 14-16atm = 5.7 (4.5 - 7.5) mm2, 20atm = 6.5 (5.3 - 7.9) mm2; P < 0.001), com um aumento na área do prolapso tecidual (10atm =0.09 (0.06 - 0.12) mm2, 14-16atm =0.10 (0.06 - 0.15) mm2, 20atm =0.15 (0.08 - 0.20) mm2; P < 0.01). Segmentos com muito tecido fibrocalcificado tiveram áreas luminais menores ao longo das etapas da intervenção. Por outro lado, placas com muito conteúdo lipídico ou vaso normal tiveram maiores ganhos nas medidas das áreas luminais mínimas ao longo das dilatações sequenciais. Além disso, placas com muito tecido fibrocalcificado no momento basal apresentaram menor crescimento neointimal no seguimento tardio, enquanto que o grau de conteúdo lipídico e de vaso normal não tiveram impacto sobre a formação do tecido neointimal. Os indicadores substitutos de lesão vascular após o implante do stent correlacionaram-se significativamente com o crescimento neointimal no seguimento tardio. Conclusões: A composição tecidual das placas subjacentes influencia significativamente o comportamento mecânico agudo e a longo prazo dos vasos coronarianos submetidos ao implante de stent. Além disso, a lesão vascular após o implante do stent está potencialmente ligada ao futuro crescimento neointimal no seguimento tardio / Background Accurate characterization of atherosclerotic plaque interaction during stent deployment is crucial to understand vascular compliance and healing. We sought to determine whether plaque composition assessed by optical coherence tomography (OCT), influences acute changes at index procedure and vascular healing at follow up. Methods Patients treated with a single drug-eluting stent type (cobalt chromium with bioabsorbable polymer eluting sirolimus stent) were prospectively included, following a pre-defined step-by-step progressive vessel dilatation. Sequential OCT imaging were performed at the index procedure (baseline and at each time point of the protocol) and at follow up, co-registered and analyzed every 0.6mm for quantitative measurements. Semi-quantitative plaque assessment was performed at baseline by dividing cross-sections into 4 quadrants, with each quadrant labeled according to its most prevalent component (fibrotic, calcific, lipid). OCT assessments of stent-vessel interactions were used as a surrogate for vessel injury and healing after stent implantation. Results A total of 22 lesions (1stent/lesion) of 20 patients and 2298 OCT crosssections were analyzed at the index procedure. For an average of 19.7 months (591.88 ± 60.52 days), 17 of the patients and 19 lesions (86%) underwent OCT imaging at follow up. The predominant percentage plaque component was fibrotic (fibrotic = 46.84 ± 16%; lipid = 17.63 ± 10.72%; calcific = 4.63 ± 5.9%; normal = 29.16 ± 12.24; non-analyzable = 1.74 ± 5.35%). There was an increase in lumen (10atm = 5.5 (4.5 - 7.4) mm2, 14-16atm = 6.0 (4.7 - 7.70) mm2, 20atm = 6.7 (5.5 - 8.2) mm2; P < 0.001) and stent (10atm = 5.2 (4.3 - 7.0) mm2, 14-16atm = 5.7 (4.5 - 7.5) mm2, 20atm = 6.5 (5.3 - 7.9) mm2; P < 0.001) areas, with an increase in tissue prolapse area (10atm =0.09 (0.06 - 0.12) mm2, 14-16atm =0.10 (0.06 - 0.15) mm2, 20atm =0.15 (0.08 - 0.20) mm2; P < 0.01). Segments with high fibrocalcific content tended to have decreased minimal luminal areas along the intervention time-points. Conversely, plaques with high lipid content had increased minimal luminal areas during sequential dilatations. Moreover, plaques with high fibrocalcific tissue at baseline had significantly smaller neointimal growth at follow-up, whereas the degree of lipid content or normal tri-layered vessel had no impact on neointimal formation. OCT surrogates of vessel injury after coronary stenting significantly correlated with neointimal growth at follow-up. Conclusions: Tissue composition of underlying plaques significantly influences the acute mechanical and the long-term behavior of coronary vessels undergoing stent implantation. In addition, vessel injury after coronary stenting is potentially linked to future neointimal growth at follow-up

Cette thèse a pour objectif l’étude d’un lien effectif potentiel entre la motilité cellulaire, la mécanique cellulaire, et l’activité biochimique de ces mêmes cellules. Ce couplage a été étudié dans divers systèmes biologiques, et aussi bien dans des cultures de cellules qu’à l’intérieur de tissus plus complexes. Notamment, nous avons particulièrement cherché à détecter un couplage électromécanique dans des neurones qui pourrait être impliqué dans la propagation du message nerveux.Pour ce faire, nous avons dû développer deux microscopes optiques à la sensibilité extrême. Ces microscopes se composent de deux parties principales. La première sert à détecter des mouvements axiaux plus petits que la longueur d’onde optique, soit en dessous de 100 nanomètres. La deuxième partie permet la détection d’un signal de fluorescence, offrant la possibilité de suivre l’évolution biochimique de la cellule. Avec ces deux microscopes multimodaux, il est donc possible de suivre de manière simultanée un contraste de motilité, un contraste mécanique, un contraste structurel et un contraste biochimique. Si l’un de ces systèmes est basé sur la tomographie de cohérence optique plein champ et permet de faire de telles mesures en 3-D et en profondeur dans les tissus biologiques, le second ne permet que des mesures dans des cultures de cellules, mais est bien plus robuste au bruit mécanique. Dans ce manuscrit, nous allons essentiellement décrire le développement de ces deux appareils, et préciser les contrastes auxquels ils sont sensibles spécifiquement.Nous développerons également deux des applications principales de ces microscopes que nous avons étudié dans le détail au cours de cette thèse. La première application développe l’intérêt d’un de nos microscopes pour la détection sans marquage des principaux composants cellulaires et structuraux de la cornée et de la rétine. La seconde application tend à détecter et à suivre des ondes électromécaniques dans des neurones de mammifères / This PhD project aims to explore the relationship that might exist between the dynamic motility and mechanical behavior of different biological systems and their biochemical activity. In particular,we were interested in detecting the electromechanical coupling that may happen in active neurons, and may assist in the propagation of the action potential. With this goal in mind, we have developed two highly sensitive optical microscopes that combine one modality that detects sub-wavelength axial displacements using optical phase imaging and another modality that uses a fluorescence path. Therefore, these multimodal microscopes can combine a motility, a mechanical,a structural and a biochemical contrast at the same time. One of this system is based ona multimodal combination of full-field optical coherence tomography (FF-OCT) and allows the observation of such contrast inside thick and scattering biological tissues. The other setup provides a higher displacement sensitivity, but is limited to measurements in cell cultures. In this manuscript, we mainly discuss the development of both systems and describe the various contrastst hey can reveal. Finally, we have largely used our systems to investigate diverse functions of the eye and to look for electromechanical waves in cell cultures. The thorough description of both biological applications is also provided in the manuscript