<p>This thesis describes three computational optical systems and their underlying coding strategies. These codes are useful in a variety of optical imaging and spectroscopic applications. Two multichannel cameras are described. They both use a lenslet array to generate multiple copies of a scene on the detector. Digital processing combines the measured data into a single image. The visible system uses focal plane coding, and the long wave infrared (LWIR) system uses shift coding. With proper calibration, the multichannel interpolation results recover contrast for targets at frequencies beyond the aliasing limit of the individual subimages. This thesis also describes a LWIR imaging system that simultaneously measures four wavelength channels each with narrow bandwidth. In this system, lenses, aperture masks, and dispersive optics implement a spatially varying spectral code.</p> / Dissertation

<p>This dissertation presents methods and associated performance bounds for spectral image processing tasks such as reconstruction and target detection, which are useful in a variety of applications such as astronomical imaging, biomedical imaging and remote sensing. The key idea behind our spectral image processing methods is the fact that important information in a spectral image can often be captured by low-dimensional manifolds embedded in high-dimensional spectral data. Based on this key idea, our work focuses on the reconstruction of spectral images from <italic>photon-limited</italic>, and distorted observations. </p><p>This dissertation presents a partition-based, maximum penalized likelihood method that recovers spectral images from noisy observations and enjoys several useful properties; namely, it (a) adapts to spatial and spectral smoothness of the underlying spectral image, (b) is computationally efficient, (c) is near-minimax optimal over an <italic>anisotropic</italic> Holder-Besov function class, and (d) can be extended to inverse problem frameworks.</p><p>There are many applications where accurate localization of desired targets in a spectral image is more crucial than a complete reconstruction. Our work draws its inspiration from classical detection theory and compressed sensing to develop computationally efficient methods to detect targets from few projection measurements of each spectrum in the spectral image. Assuming the availability of a spectral dictionary of possible targets, the methods discussed in this work detect targets that either come from the spectral dictionary or otherwise. The theoretical performance bounds offer insight on the performance of our detectors as a function of the number of measurements, signal-to-noise ratio, background contamination and properties of the spectral dictionary. </p><p>A related problem is that of level set estimation where the goal is to detect the regions in an image where the underlying intensity function exceeds a threshold. This dissertation studies the problem of accurately extracting the level set of a function from indirect projection measurements without reconstructing the underlying function. Our partition-based set estimation method extracts the level set of proxy observations constructed from such projection measurements. The theoretical analysis presented in this work illustrates how the projection matrix, proxy construction and signal strength of the underlying function affect the estimation performance.</p> / Dissertation

A l'heure actuelle, des méthodes innovatrices complémentaires à l'histopathologie pour le diagnostic de cancer sont en voie de développement. Dans cette perspective, une approche biophotonique telle la micro-imagerie spectrale infrarouge représente une méthode candidate capable de fournir une empreinte biochimique des cellules et des tissus sans étape de marquage. Par conséquent, un nouveau concept d'histopathologie spectrale infrarouge des tissus du côlon a été mis en œuvre afin d'identifier les signatures spectrales spécifiques des structures histologiques du côlon, et d'exploiter ces signatures afin de développer un modèle de prédiction comprenant des marqueurs potentiels pour le diagnostic du cancer du côlon de manière rapide et automatisée. Pour cela, les images infrarouges de différents échantillons coliques (adénocarcinome modérément différencié et non-tumorale) ont été acquises en utilisant un système d'imagerie infrarouge. Un déparaffinage mathématique a été réalisé sur les images spectrales en utilisant l'algorithme « extended multiplicative signal correction » (EMSC). Les données spectrales ont été soumises à une analyse de clustering, afin d'identifier les signatures spectrales spécifiques des tissus du côlon. Ces signatures ont été utilisées pour développer un modèle de prédiction robuste qui a été appliqué sur des échantillons des tissus du côlon inconnus pour l'identification histopathologique. Le modèle de prédiction, a non seulement identifié d'une part les tissus tumoraux inconnus avec une sensibilité de 100%, mais aussi d'autre part des caractéristiques importantes associées à la tumeur telles que le tumor budding et l'association de la tumeur et du stroma. La micro-imagerie spectrale infrarouge en conjonction avec l'analyse statistique multivariée, constituant une approche non destructive et ne nécessitant aucun marquage, démontre le potentiel de cette méthode comme outil complémentaire à l'histopathologie classique pour un diagnostic de cancer automatisé et objectif. / Innovative cancer diagnostic methods complementary to the gold standard histopathology are the need of the hour. In this perspective, the biophotonic approach of infrared spectral micro-imaging is one of the candidate methods capable of providing a biochemical fingerprint of cells and tissues in a label-free manner. Hence, a novel concept of infrared spectral histopathology of colonic tissues has been implemented in order to identify spectral signatures specific of colon histological structures, and to exploit these signatures to develop a prediction model comprising potential diagnostic markers for rapid and automated colon cancer diagnosis. For this, infrared images of colonic samples (moderately differentiated adenocarcinoma and non-tumoral) were acquired using an infrared imaging system. A mathematical deparaffinization was carried out on the spectral images using a modified Extended Multiplicative Signal Correction (EMSC) algorithm. The spectral data was subjected to clustering analysis in order to identify spectral signatures specific of colonic tissues. These signatures were used to develop a robust prediction model which was applied on unknown colonic tissue samples for histopathological identification. The prediction model not only identified the unknown tumoral tissues with 100 % sensitivity, but also some important tumor associated features such as tumor budding and tumor stroma association. Infrared spectral micro-imaging in conjunction with multivariate statistical analysis constituting a non-destructive and label-free approach, demonstrates the potential as a novel complementary tool to conventional histopathology for an automated and objective cancer diagnosis.

L’imagerie de polarisation est une technique permettant de révéler des contrastes qui n’apparaissent pas dans les images d’intensité classiques. En d’autres termes, elle permet de transformer une différence de propriétés polarimétriques en différence de niveau de gris. Elle trouve des applications en décamouflage, télédétection, microscopie, etc. Les imageurs polarimétriques utilisent souvent des modulateurs de polarisation basés sur des matrices de cristaux liquides rapides et fiables. Cependant, les LCVR contrôlent l’état de polarisation de la lumière à seulement une longueur d’onde donnée, et si le système est utilisé à d’autres longueurs d’ondes, il a des performances réduites. Si la lumière qui illumine la scène à un spectre large, il est donc nécessaire d’insérer un filtre spectral de bande étroite dans la voie d’imagerie, ce qui a pour effet de réduire la quantité de lumière entrant dans le système et donc le rapport signal à bruit des images.Un moyen de résoudre ce problème est d’utiliser des modulateurs de polarisation achromatiques, mais cela induit un coût et une complexité accrus qui peuvent ne pas être nécessaires si l’objectif est d’améliorer la performance de détection de cible en augmentant le contraste entre l’objet d’intérêt et le fond. Dans cette thèse, j’étudie l’impact d’un élargissement du spectre d’illumination sur la performance de détection de cible par des systèmes d’imagerie polarimétriques utilisant des composants chromatiques. A travers des simulations, je montre tout d’abord qu’élargir le spectre d’illumination peut augmenter le contraste car l’augmentation du flux de lumière compense la perte de précision polarimétrique. De plus, en prenant en compte les caractéristiques polarimétriques chromatiques des composants, on peut accroître encore l’augmentation du contraste. Ces résultats sont ensuite validés à travers des expériences réelles d’imagerie polarimétrique active. Ils démontrent que la largeur du spectre d’éclairement peut être considérée comme un paramètre additionnel pour optimiser ces systèmes d’imagerie.Afin de mettre en pratique l’expertise acquise en imagerie polarimétrique active à un autre domaine, j’ai collaboré avec un partenaire industriel (Carl Zeiss, Germany) pour doter un microscope optique d’une capacité polarimétrique. L’imagerie d’un échantillon fin et transparent est un problème difficile. Par exemple, la coloration de l’échantillon peut ajouter des détails parasites et n’est pas applicable à l’imagerie du vivant. Une technique prometteuse est le contraste de phase différentiel (DPC) qui consiste à extraire le gradient de phase de l’objet à partir de deux images illuminées de manière asymétrique et acquises selon des angles complémentaires. La source de lumière est une matrice de LED programmables qui peut générer différents motifs d’illumination. Cependant, cette méthode d’imagerie prend du temps et les flashs intermittents émis par la source peuvent rendre l’observation inconfortable.J’ai donc proposé une solution alternative consistant à installer deux polariseurs avec des axes orthogonaux devant la source de lumière et une caméra sensible à la polarisation qui peut détecter simultanément des polarisations orthogonales. La lumière polarisée atteint la caméra sensible à la polarisation après avoir traversé l’échantillon transparent. Les composantes orthogonales sont extraites de l’image acquise par un procédé de débayerisation. A travers différentes expériences, je compare les performances de cette méthode innovante avec la méthode de DPC classique. Je montre qu’elles fournissent des qualités d’images similaires dans la plupart des cas alors que la nouvelle méthode permet de diviser le temps d’acquisition par deux, tout en supprimant les flashs intermittents. / Polarization imaging is a technique which reveals contrasts that do not appear in classical intensity images. It transforms the difference in polarimetric properties of a scene into difference in gray level of an image. This technique has found applications in decamouflaging, remote sensing, microscopy etc. Polarimetric imagers often use polarization modulation devices based on liquid crystal variable retarders (LCVR), which are fast and reliable. However, LCVR control the polarization state of light only at one given nominal wavelength, and performance loss might be observed if imaging is performed at other wavelengths, due to the wavelength dependence of the LCVR. If the light source that illuminates the scene has a broad spectrum, it is thus necessary to insert a narrowband spectral filter in the imaging path. However, spectral filtering significantly decreases the amount of light entering the system and thus the signal-to-noise ratio of polarimetric images.A way to circumvent this issue is to achromatize the polarization modulators. However, this comes at the price of higher complexity and cost, and this may not be needed if the objective is to improve target detection performance by increasing the target/background discriminability (or contrast). In the thesis, we present the investigation of the impact of broadening the spectrum of the light entering the system on the discriminability performance of active polarimetric systems. Through simulations, we show that broadening the bandwidth of the illumination can increase the contrast between two regions, as the increase of light flux compensates for the loss of polarimetric precision. Moreover, we show that taking into account the chromatic characteristics of the components of the imaging system, it is possible to further enhance the contrast. We validate these findings through experiments in active polarimetric imaging configuration, and demonstrate that the spectral bandwidth can be considered as an additional parameter to optimize polarimetric imaging set-ups.We collaborated with an industrial partner (Carl Zeiss, Germany) to implement polarization imaging in optical microscopy. Imaging thin and transparent specimen in microscopy is a challenging task. Staining the sample is a solution but it adds false/spurious details to the image, thus not suitable for live imaging. Recently, differential phase contrast (DPC) imaging by asymmetric illumination is proved to be a desirable choice. This works on the principle that the phase gradient of a transparent specimen can be extracted from two images, illuminated and recorded at complementary angles. Then, DPC is computed as normalized difference between two images. Here the light source is programmable LED array and different pattern of illumination can be generated. This imaging method consumes more time and intermittent flash of light from light source makes sample observation inconvenient for the observer.A practical solution we propose is to install two polarization foils with orthogonal polarization axes below the light source side by side and a polarization sensitive camera which can detect orthogonal eigen polarization states at a time in the existing setup. The polarization foils separate light waves from complementary angles since orthogonally polarized light waves do not interact with each other. The polarized light reaches polarization sensitive camera after passing through transparent sample. The pixels sensitive to horizontal and vertical polarization detect horizontal and vertical polarized light respectively. Then horizontal and vertical polarized light information are separated from the recorded image and reconstructed the missing information using debayering process. Through experiments, we show that polarization based DPC and standard DPC images have similar quality in most cases and the new technique reduces time consumption by half.

Water resources play an important role in society and fulfill various functions such as providing drinking water, supporting industrial production and enhancing the overall landscape. Water bodies, such as rivers and lakes, are particularly important in this context. However, as societies and economies develop, the demand for water increases significantly. This also leads to the release of domestic, agricultural and industrial wastewater, which often exceeds the self-purification capacity of water bodies. Consequently, rivers and lakes are getting more and more polluted, endangering the safety of drinking water and causing ecological damage, affecting human health and biodiversity.  Water quality monitoring plays a crucial role in evaluating the state of water bodies. Traditional monitoring methods involve labor-intensive field sampling and expensive construction and maintenance of automatic stations. Although these methods provide accurate results, they are limited to specific sampling points and struggle to meet the demands of monitoring water quality across entire surfaces of rivers and lakes. This degree project aim at developing a method that can predict absorbance in water with the aim of remote sensing. Along with multispectral imaging and machine learning this work proves that this is possible. The result from multivariate analysis is an optimal model that can predict absorbance at 420 nm with RSQ of 0,996 and RMSE of 0,00081.

<p dir="ltr">Thermal radiation is a naturally abundant form of light that is continuously emitted from objects above absolute zero. Because this form of electromagnetic radiation is invisible to the human eye, much of human and machine perception neglects the rich information that is present in infrared energy. By harvesting the spectral and polarimetric characteristics of thermal signals, thermal imaging can deliver an enormous impact to remote sensing, machine perception, autonomous navigation, and biomedical applications. The goal of this thesis is to present numerous techniques that enable the extraction of the vast information available via thermal radiation.</p><p dir="ltr">This thesis investigates a more robust and approachable method of providing spectral and polarimetric resolution to short-wave infrared cameras. Through the application of a liquid crystal interferometer, this research demonstrates an electrically-tunable spectral imaging platform that is compact, robust, cost-effective, and accurate, offering a durable solution for remote sensing and autonomous navigation. This thesis also examines the design of filters specific to the short-wave infrared signature of greenhouse gasses, enabling aerial detection and measurement of greenhouse gas sources via a single filtered image, which can drastically improve the speed and accuracy of monitoring greenhouse gas emissions. In the long-wave infrared regime, this research explores a four-color imaging thermometer, capitalizing on the resolution provided by four spectral bands—in conjunction with the <i>TeX-</i><i>Vision</i><i> </i>temperature-estimation algorithm—to yield unprecedented temperature estimation accuracy that can advance current medical diagnostic practices.</p><p dir="ltr">The examples described in this thesis reveal the breadth of untapped information that is present in thermal radiation, which carries the ability to enhance the way we perceive our surroundings.</p>

L’avantage du train depuis sa création est sa faible résistance à l’avancement du fait du contact fer-fer de la roue sur le rail conduisant à une adhérence réduite. Cependant cette adhérence faible est aussi un inconvénient majeur : étant dépendante des conditions environnementales, elle est facilement altérée lors d’une pollution du rail (végétaux, corps gras, eau, etc.). Aujourd’hui, les mesures prises face à des situations d'adhérence dégradée impactent directement les performances du système et conduisent notamment à une perte de capacité de transport. L’objectif du projet est d’utiliser les nouvelles technologies d’imagerie spectrale pour identifier sur les rails les zones à adhérence réduite et leur cause afin d’alerter et d’adapter rapidement les comportements. La stratégie d’étude a pris en compte les trois points suivants : • Le système de détection, installé à bord de trains commerciaux, doit être indépendant du train. • La détection et l’identification ne doivent pas interagir avec la pollution pour ne pas rendre la mesure obsolète. Pour ce faire le principe d’un Contrôle Non Destructif est retenu. • La technologie d’imagerie spectrale permet de travailler à la fois dans le domaine spatial (mesure de distance, détection d’objet) et dans le domaine fréquentiel (détection et reconnaissance de matériaux par analyse de signatures spectrales). Dans le temps imparti des trois ans de thèse, nous nous sommes focalisés sur la validation du concept par des études et analyses en laboratoire, réalisables dans les locaux de SNCF Ingénierie & Projets. Les étapes clés ont été la réalisation d’un banc d’évaluation et le choix du système de vision, la création d'une bibliothèque de signatures spectrales de référence et le développement d'algorithmes classification supervisées et non supervisées des pixels. Ces travaux ont été valorisés par le dépôt d'un brevet et la publication d'articles dans des conférences IEEE. / The advantage of the train since its creation is in its low resistance to the motion, due to the contact iron-iron of the wheel on the rail leading to low adherence. However this low adherence is also a major drawback : being dependent on the environmental conditions, it is easily deteriorated when the rail is polluted (vegetation, grease, water, etc). Nowadays, strategies to face a deteriorated adherence impact the performance of the system and lead to a loss of transport capacity. The objective of the project is to use a new spectral imaging technology to identify on the rails areas with reduced adherence and their cause in order to quickly alert and adapt the train's behaviour. The study’s strategy took into account the three following points : -The detection system, installed on board of commercial trains, must be independent of the train. - The detection and identification process should not interact with pollution in order to keep the measurements unbiased. To do so, we chose a Non Destructive Control method. - Spectral imaging technology makes it possible to work with both spatial information (distance’s measurement, target detection) and spectral information (material detection and recognition by analysis of spectral signatures). In the assigned time, we focused on the validation of the concept by studies and analyses in laboratory, workable in the office at SNCF Ingénierie & Projets. The key steps were the creation of the concept's evaluation bench and the choice of a Vision system, the creation of a library containing reference spectral signatures and the development of supervised and unsupervised pixels classification. A patent describing the method and process has been filed and published.

The Maya of Central America developed a complex society: among their many achievements they developed a writing system, complex calendar and were prolific builders. The buildings of their large urban centres, such as Copan in Honduras, were decorated with painted stucco, moulded masks, carving and elaborate murals, using a range of coloured pigments. In this study the paints used on the buildings of Copan and some ceramic sherds have been investigated, non-destructively, using micro-Raman spectroscopy, micro-ATR infrared spectroscopy, environmental scanning electron microscopy with energy dispersive X-ray analysis (ESEM-EDX) and FTIR-ATR imaging spectroscopy. The paint samples come from four buildings and one tomb covering three time periods in the four hundred year history of Copan. The main pigment used in the red paint on these samples was identified as haematite, and the stucco as a mixture of calcite particles dispersed throughout a calcite-based lime wash stucco. The composition and physical nature of the stucco changed through time, indicating a refining of production techniques over this period. A range of minor mineral components have been identified in each of the samples including rutile, quartz, clay and carbon. The presence and proportion of these and other minerals differed in each sample, leading to unique mineral signatures for the paint from each time period. Green and grey paints have also been identified on one of the buildings, the Rosalila Temple. The green pigment was identified as a celadonite-based green earth, and the grey pigment as a mixture of carbon and muscovite. The combination of carbon and mica to create a reflective paint is a novel finding in Maya archaeology. The high spatial resolution of the micro-FTIR-ATR spectral imaging system has been used to resolve individual particles in tomb wall paint and to identify their mineralogy from their spectra. This system has been used in combination with micro-Raman spectroscopy and ESEM-EDX mapping to characterize the paint, which was found to be a mixture of haematite and silicate particles, with minor amounts of calcite, carbon and magnetite particles, in a sub-micron haematite and calcite matrix. The blending of a high percentage of silicate particles into the haematite pigment is unique the tomb sample. The stucco in this tomb wall paint has finely ground carbon dispersed throughout the top layer providing a dark base for the paint layer. Changing paint mixtures and stucco composition were found to correlate with changes in paint processing techniques and building construction methods over the four hundred years of site occupation.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A hanseníase é uma doença infecciosa com características únicas, dentre elas o fato de atingir intensamente a inervação da pele e seus anexos. Entremeando estes anexos, está a microcirculação cutânea, que a principio também tem sua inervação comprometida. Vários artigos apontam para alterações de disautonomia microcirculatória, citando como exemplo as alterações no reflexo vasomotor. O presente estudo se propõe a avaliar a microcirculação cutânea na hanseníase virchowiana, tanto em sua morfologia quanto em sua reatividade vascular. Para isto, utilizamos a tecnologia de luz ortogonal polarizada através do equipamento Cytoscan, a analise de Fourier do sinal do laser Doppler para estudo da vasomotricidade e o laser Doppler fluxometria associado à iontoforese de substâncias vasoativas (acetilcolina, nitroprussiato de sódio e noradrenalina) para avaliação da reatividade vascular. Dez pacientes portadores de hanseníase virchowiana sem outras comorbidades que pudessem alterar os parâmetros microcirculatórios, foram avaliados pelos métodos descritos e seus resultados foram comparados aos de dez controles sem hanseníase ou qualquer outra comorbidade. Em relação à vasomotricidade não foram observadas alterações estatisticamente significativas entre os grupos, o que fala a favor da teoria de origem miogênica para a vasomotricidade. Em relação à iontoforese de substâncias vasoativas constatou-se uma diminuição da resposta vasodilatadora à acetilcolina e ao nitroprussiato nos pacientes com hanseníase. Os exames com o Cytoscan mostraram aumento no tamanho dos capilares, bem como alterações em sua morfologia. Os resultados apresentados sugerem que, provavelmente devido ao longo período de alteração inervatória decorrente da hanseníase virchowiana, estes pacientes apresentam uma alteração significativa tanto morfológica quanto na reatividade vascular da microcirculação cutânea. / Leprosy is an infectious disease with unique characteristics. One of them is the fact that it compromises not only the cutaneous and adnexial innervation, but also the innervation of the cutaneous microcirculation. Several articles indicate the impact of disautonomy on the microcirculatory level, citing the example of changes in vasomotor level. The present study proposes to evaluate morphology and microvascular reactivity of the cutaneous microcirculation of the virchowian leprosy. Methods employed in the study were: the Cytoscan, which uses the orthogonal polarized light, the Fourier analysis of the laser Doppler signal to study vasomotion, and the laser Doppler flowmetry associated with iontophoresis of vasoactive substances (acetylcholine, sodium nitroprusside and norepinephrin). Ten patients with virchowian leprosy, without any other comorbidity that could modify the microvascular parameters were evaluated and their results were compared to ten controls without leprosy or any other comorbidity. Regarding the vasomotion, no statistical significant differences were noticed between the groups. Our data are in agreement with the vasomotions miogenic origin theory. According to iontophoresis of vasoactive substances, it was found that there is a reduced endothelial-dependent and endothelial-independent vasodilation in patients with leprosy while tests by direct visualization we observed an increase in the size of capillaries, as well as changes in their morphology. The results suggest that the significant changes in morphology and vascular reactivity of skin microcirculation are probably due to the long period of innervatory changes arising from leprosy.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A hanseníase é uma doença infecciosa com características únicas, dentre elas o fato de atingir intensamente a inervação da pele e seus anexos. Entremeando estes anexos, está a microcirculação cutânea, que a principio também tem sua inervação comprometida. Vários artigos apontam para alterações de disautonomia microcirculatória, citando como exemplo as alterações no reflexo vasomotor. O presente estudo se propõe a avaliar a microcirculação cutânea na hanseníase virchowiana, tanto em sua morfologia quanto em sua reatividade vascular. Para isto, utilizamos a tecnologia de luz ortogonal polarizada através do equipamento Cytoscan, a analise de Fourier do sinal do laser Doppler para estudo da vasomotricidade e o laser Doppler fluxometria associado à iontoforese de substâncias vasoativas (acetilcolina, nitroprussiato de sódio e noradrenalina) para avaliação da reatividade vascular. Dez pacientes portadores de hanseníase virchowiana sem outras comorbidades que pudessem alterar os parâmetros microcirculatórios, foram avaliados pelos métodos descritos e seus resultados foram comparados aos de dez controles sem hanseníase ou qualquer outra comorbidade. Em relação à vasomotricidade não foram observadas alterações estatisticamente significativas entre os grupos, o que fala a favor da teoria de origem miogênica para a vasomotricidade. Em relação à iontoforese de substâncias vasoativas constatou-se uma diminuição da resposta vasodilatadora à acetilcolina e ao nitroprussiato nos pacientes com hanseníase. Os exames com o Cytoscan mostraram aumento no tamanho dos capilares, bem como alterações em sua morfologia. Os resultados apresentados sugerem que, provavelmente devido ao longo período de alteração inervatória decorrente da hanseníase virchowiana, estes pacientes apresentam uma alteração significativa tanto morfológica quanto na reatividade vascular da microcirculação cutânea. / Leprosy is an infectious disease with unique characteristics. One of them is the fact that it compromises not only the cutaneous and adnexial innervation, but also the innervation of the cutaneous microcirculation. Several articles indicate the impact of disautonomy on the microcirculatory level, citing the example of changes in vasomotor level. The present study proposes to evaluate morphology and microvascular reactivity of the cutaneous microcirculation of the virchowian leprosy. Methods employed in the study were: the Cytoscan, which uses the orthogonal polarized light, the Fourier analysis of the laser Doppler signal to study vasomotion, and the laser Doppler flowmetry associated with iontophoresis of vasoactive substances (acetylcholine, sodium nitroprusside and norepinephrin). Ten patients with virchowian leprosy, without any other comorbidity that could modify the microvascular parameters were evaluated and their results were compared to ten controls without leprosy or any other comorbidity. Regarding the vasomotion, no statistical significant differences were noticed between the groups. Our data are in agreement with the vasomotions miogenic origin theory. According to iontophoresis of vasoactive substances, it was found that there is a reduced endothelial-dependent and endothelial-independent vasodilation in patients with leprosy while tests by direct visualization we observed an increase in the size of capillaries, as well as changes in their morphology. The results suggest that the significant changes in morphology and vascular reactivity of skin microcirculation are probably due to the long period of innervatory changes arising from leprosy.