Indiana University-Purdue University Indianapolis (IUPUI) / A crucial task in computer vision and biomedical image applications is to represent images in a numerically compact form for understanding, evaluating and/or mining their content. The fundamental step of this task is the segmentation of images into regions, given some homogeneity criteria, prior appearance and/or shape information criteria. Specifically, segmentation of cells in microscopic images is the first step in analyzing many biomedical applications. This thesis is a part of the project entitled "Construction and profiling of biodegradable cardiac patches for the co-delivery of bFGF and G-CSF growth factors" funded by National Institutes of Health (NIH). We present a method that simultaneously segments the population of cells while partitioning the cell regions into cytoplasm and nucleus in order to evaluate the spatial coordination on the image plane, density and orientation of cells. Having static microscopic images, with no edge information of a cytoplasm boundary and no time sequence constraints, traditional cell segmentation methods would not perform well. The proposed method combines deformable models with a probabilistic framework in a simple graphical model such that it would capture the shape, structure and appearance of a cell. The process aims at the simultaneous cell partitioning into nucleus and cytoplasm. We considered the relative topology of the two distinct cell compartments to derive a better segmentation and compensate for the lack of edge information. The framework is applied to static fluorescent microscopy, where the cultured cells are stained with calcein AM.

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?-Conjugated systems have been the focus of study in recent years in order to understand their charge transport and optical properties for use in organic electronic devices, fluorescence bioimaging, sensors, and 3D optical data storage (ODS), among others. As a result, several molecular building blocks have been designed, allowing new frontiers to be realized. While various successful building blocks have been fine-tuned at both the electronic and molecular structure level to provide advanced photophysical and optoelectronic characteristics, the azulene framework has been under-appreciated despite its unique electronic and optical properties. Among several attributes, azulenes are vibrant blue naturally occurring hydrocarbons that exhibit large dipolar character, coupled with stimuli-responsive behavior in acidic environments. Additionally, the non-toxic nature and the accompanying eco-friendly feature of some azulenes, namely guaiazulene, may set the stage to further explore a more "green" route towards photonic and conductive materials. The first part of this dissertation focuses on exploiting guaiazulene as a natural building block for the synthesis of chromophores with varying stimuli-responsiveness. Results described in Chapter 1 show that extending the conjugation of guaiazulene through its seven-membered ring methyl group with aromatic substituents dramatically impacts the optical properties of the guaiazulenium carbocation. Study of these ?–stabilized tropilium ions enabled establishing photophysical structure-property trends for guaiazulene-terminated ?-conjugated analogs under acidic conditions, including absorption, emission, quantum yield, and optical band gap patterns. These results were exploited in the design of a photosensitive polymeric system with potential application in the field of three dimensional (3D) optical data storage (ODS). Chapter 2 describes the use of guaiazulene reactive sites (C-3 and C-4 methyl group) to generate a series of cyclopenta[ef]heptalenes that exhibit strong stimuli-responsive behavior. The approach presents a versatile route that allows for various substrates to be incorporated into the resulting cyclopenta[ef]heptalenes, especially after optimization that led to devising a one-pot reaction toward such tricyclic systems. Examining the UV-vis absorption profiles in neutral and acidic media showed that the extension of conjugation at C(4) of the cyclopenta[ef]heptalene skeleton results in longer absorption maxima and smaller optical energy gaps. Additionally, it was concluded that these systems act as sensitizers of a UV-activated (< 300 nm) photoacid generator (PAG), via intermolecular photoinduced electron transfer (PeT), upon which the PAG undergoes photodecomposition resulting in the generation of acid. In a related study, the guaiazulene methyl group at C-4 was employed to study the linear and nonlinear optical properties of 4-styrylguaiazulenes, having the same ?–donor with varying ?-spacer. It was realized that the conjugation length correlates with the extent of bathochromic shift of the protonated species. On the other hand, a trend of decreasing quantum yield was established for this set of 4-styrylguaiazulenes, which can be explained by the increasingly higher degree of flexibility. The second part of this dissertation presents a comprehensive investigation of the linear photophysical, photochemical, and nonlinear optical properties of diketopyrrolopyrrole (DPP)-based derivatives, including two-photon absorption (2PA), femtosecond transient absorption, stimulated emission spectroscopy, and superfluorescence phenomena. The synthetic feasibility, ease of modification, outstanding robustness, and attractive spectroscopic properties of DPPs have motivated their study for fluorescence microscopy applications, concluding that the prepared DPP's are potentially suitable chromophores for high resolution stimulated emission depletion (STED) microscopy.

In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. The product is a consumable reagent kit for the quantification of nucleic acids, which can be used by CRISPR gene editing researchers. The DNA which is analyzed with the reagent kit is first extracted in an assay and then targeted with tailored padlock probes. The target region is amplified via RCA and the products collapse into a fluorescent DNA nanoball, which can be analyzed with a fluorescence microscope. Each fluorescent dot in the microscope corresponds to a single recognition event, making the quantification of the edited and unedited nucleic acids possible.  The purpose of this project was to count the number of DNA nanoballs in images from a fluorescence microscope with a focus on deep learning. To do this, the images were first preprocessed to enhance the image quality and then cropped into small patches, before the patches were manually annotated on image-level. The mean value from three annotators was used as the label and the labelled images were used to train a ResNet by using a regression- based approach. PyTorch and the API Fastai were used for training and the applied method was transfer learning. The network was trained in two stages: first, the newly added layers were trained for feature extraction, and then the pre-trained base model was unfrozen and trained for fine-tuning. To find the position of the nanoballs in the images, Class Activation Maps (CAMs) and Gradient-weighted Class Activation Mapping (Grad-CAMs) were created, and the local maxima were calculated to produce statistics.  The best-performing model was a ResNet34 trained with batch size 32 and the loss function Huber loss. The model inference showed that the deep learning model counted the nanoballs in the same interval as the observers in 40 of 50 test images. The created CAMs and Grad-CAMs had too low resolution to find the coordinates of the detected nanoballs.  During this project, the nanoballs were only counted in small patches, but the goal was to find nanoballs in a large image. This project has been limited by time and unfortunately, the step where the number of nanoballs in the different patches were to be summed was not performed. However, the study showed that it is possible to implement and train a deep learning model to count nanoballs in small patches. It also showed that the activation maps had too low resolution to be able to find the positions of the nanoballs by looking for local maxima. The results showed that the number of patches used as training samples did not greatly impact the model’s performance when comparing 300 patches and 450 patches. Manual annotation of nanoballs was a difficult task since the nanoballs are moving when the images are taken, which results in unsharp nanoballs in some patches. Therefore, the manual annotation should probably be performed by experts to get the correct labels for the training. To improve the model and be able to find the positions of the nanoballs further investigation is needed.

In dieser Arbeit wurden die von Seitz et al. entwickelten forced intercalation (FIT)-Sonden zur mRNA-Charakterisierung in lebenden Zellen eingesetzt. Es erfolgte die Synthese verbesserter FIT-Sonden für die systematische Untersuchung der Aufnahme durch lebende Flp-In™ 293 T-REx™-Zellen. Dafür wurden sowohl hergestellte FIT-Sonden-Konjugate/Aggregate als auch kommerziell erhältliche Reagenzien, wie z.B. die Palmitinsäure und das porenbildende Enzym Streptolysin-O auf ihre Effizienz untersucht. Die optimalen Bedingungen für das Einbringen von DNA- und PNA-FIT-Sonden in Flp-In™ 293 T-REx™-Zellen lieferte das Enzym Streptolysin-O. Durch den simultanen Einsatz von drei unterschiedlichen Sonden (BO-, TO- und CB-markiert), komplementär zu drei verschiedenen Zielsequenzen, gelang es erstmals eine Dreifarben-Lebendzell-Bildgebung mit FIT-Sonden durchzuführen. Des Weiteren wurden TO-FIT-Sonden zur Unterscheidung verschiedener T-Zelllinien eingesetzt. Mithilfe eines kompetitiven Hybridisierungsexperiments konnte die spezifische Fluoreszenzemission der Sonden in den Zellen belegt werden. Untersuchungen mit zwei T-Zelllinien zeigten, dass TO-FIT-Sonden sowie terminal Cy7-markierte TO-FIT-Sonden eine erhöhte TO-Emission bei Vorhandensein der komplementären TCR-mRNA-Zielsequenz in den Zellen aufwiesen. Der terminale Cy7-Farbstoff bot mit einem zweiten Detektionskanal die Möglichkeit die Cy7-Intensität und die vorhandene TO-Intensität ins Verhältnis zu setzen, sodass Signale von ungebundener Sonde leichter ausgeschlossen werden konnten. Dies ermöglichte eine spezifische Markierung der T-Zellen. Es folgte die Synthese CB-markierter FIT-Sonden zur Aufklärung biologischer Fragestellungen, wie dem Verlauf einer Influenza A Infektion und die Synthese und Evaluation neuer Farbstoffe mit einem Absorptionsmaximum bei 590/596 nm. Zudem wurde der Einbau eines zyklischen PNA- Monomers bezüglich der Verbesserung von Responsivität und Helligkeit von PNA-FIT-Sonden analysiert. / In this work forced Intercalation (FIT) probes, developed by Seitz et al. were used for the mRNA characterization in living cells. The synthesis of improved FIT probes as well as the systematic study on the uptake of FIT probes by living Flp-In™ 293 T-REx™ cells was performed. Therefore FIT probe conjugates/aggregates as well as commercially available reagents, e.g. palmitic acid and the pore-forming enzyme Streptolysin-O were investigated under various conditions. Furthermore, the transfection was tested using an electroporator. The optimal transfection condition for the introduction of DNA and PNA FIT probes into Flp-In™ 293 T-REx™ cells was achieved using Streptolysin-O. Multicolor live cell imaging with the simultaneous use of three different FIT probes (BO, TO and QB) against three different target sequences was performed successfully. In addition, FIT probes were used for the differentiation between T cell lines. A competitive hybridization experiment with cells confirmed the specific fluorescence emission of the probes. Further studies with two cell lines and TO-FIT probes as well as terminal Cy7-labeled TO-FIT probes showed an increased TO emission in the presence of the complementary TCR mRNA target sequence in the cells. A second detection channel of the terminal Cy7 dye provided the advantage of comparing the Cy7- and TO-intensity ratio, thereby making it easier to exclude signals from unbound probe. This enabled the specific tagging of t cells. This was followed by the synthesis of QB-DNA-based FIT probes for the use in various biological applications e.g. as a pan selective marker for Influenza A infection. Moreover, the synthesis and evaluation of new dyes with an absorption maximum at 590/596 nm was performed. The incorporation of a cyclic PNA monomer next to the TO dye has also been realized to improve responsiveness and brightness in PNA-FIT probes.

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Biological systems carry inherent complexity, which pose difficulties observing behavioural properties, such as diffusion coefficients, kinetic constants and state switching occurrences. With constantly improving computing power and microscopy technologies, single molecule methods have become a viable alternative when probing the behaviour of proteins, enzymes, lipids and other molecules. Processed microscopy images and videos provide information such as particle intensities and trajectories, avoiding ensemble averaging and therefore allowing for a detailed breakdown of particle mobility and interactions. A single particle tracking (SPT) algorithm was developed which implements detection, localization and position linking on image stacks. Sub-pixel precise detection is done via either centroid determination, Gaussian fit, or radial symmetry centres, while tracking makes use of distance based global cost optimization. The detection algorithm is also used for single particle spectroscopy, where intensity information is used to determine the size of oligomers, as well as their interaction with other molecules through channel intensity cross-correlation. The algorithm underwent benchmarking with simulated videos and was applied to three different biological systems with comparison to other established methods of analysis. The first system studied was the diffusion of the fluorescent lipophilic dye DiD in a five-component mitochondria-like solid-supported lipid bilayer. Comparing line-scanning fluorescence correlation spectroscopy (FCS) and single particle tracking, the measured diffusion coefficients were found to be statistically different, with DFCS = 3 μm2s-1 and DSPT = 2 μm2s-1, indicating different operational ranges for the two methods. FCS outperforms SPT when the diffusion coefficient exceeds 1 μm2s-1, making it ideal for lipid diffusion in fluid membranes and proteins in solution with weak membrane interaction. SPT is best suited for mobile and immobile membrane inserted proteins, as well as lipid diffusion in viscous membranes. The second system studied was the interaction between the two proteins Bax and Bid when inserted in a membrane. Bax and Bid are both members of the Bcl-2 family of proteins, which plays a vital role in the apoptosis mechanism, by inducing mitochondrial outer membrane permeabilization. To study this system with single particle spectroscopy, fluorescently labelled Bax and truncated Bid (tBid) were imaged when interacting with a mitochondria-like supported lipid bilayer with confocal microscopy. Immobile and mobile particles were detected and distinguished based on the eccentricity of the observed fluorescence spot. The intensity of the particle signal was used to determine oligomer type (homo-oligomerization) while the interaction with the particles' counterpart (hetero-oligomerization) was determined by channel cross-correlation. This allowed the measurement of the 2D-KD values for mobile (0.6 μm-2) and immobile (0.08 μm-2) Bax/tBid complexes, showing that the degree of insertion of the proteins in the membrane greatly affect their affinity for each other. The third and final system studied was the motion of cellulases on cellulose fibers. Enzymatic hydrolysis of crystalline cellulose is a costly step in the generation of fermentable sugars for biofuel production. Due to the complex structure and many possible interaction states of the enzymes with cellulose, single particle tracking is a well-adapted technique to the gathering of information on the enzyme dynamics, which is essential for process optimization. The movement of cellulases on cellulose substrate was observed via labelled Thermobifidia fusca Cel5A, Cel6B and Cel9A on bacterial micro-crystalline cellulose substrate. The detected trajectories were analyzed using multiple diffusion models. A simple one-state diffusion model was insufficient to describe the observed radial displacement distributions and so a two-state model was introduced and confronted with the data using conventional least-squares fits , as well as a hidden Markov approach. The diffusion coefficients of the two states are found to be on the order of Dfast = 10-3 μm2s-1 and Dslow = 10-4 μm2s-1, with the slow state being more stable and therefore more likely to occur. Single particle tracking can give us better insight into complex interactions, such as synergistic binding of proteins existing in several different states and processive enzymatic behaviour, where ensemble averaging techniques can fall short. The uses of single molecule methods are plentiful and with the current rise of machine learning, higher levels of abstraction will provide us with more detailed insights into biological processes, driving promising developments in the medical field, as well as new technologies in many sectors of industry. / Thesis / Doctor of Science (PhD) / Proteins are the motors that drive most cellular processes, for example steering a cell’s life cycle, or decomposing sources of nutrients. Being able to observe the motion of individual proteins is key to understanding their behaviour. In this work a single particle tracking (SPT) program was developed to extract protein trajectories from fluorescence microscopy experiments. With this tool-set we investigated the following two systems. The first system of interest is the Bcl-2 protein family, which is vital during the pro- grammed cell death at the end of each cell’s life span. The failure of a controlled cell death can have dire consequences, such as necrosis and cancer. The Bcl-2 family proteins Bid and Bax are active on the outer membrane of the mitochondria, where they initiate the process of terminating the cell’s functions by forming pores. For our experiments we ar- tificially mimicked the outer membrane of the mitochondria, introduced Bid and Bax and observed their preferential groupings on the membrane surface. This provided indications of the mechanisms involved during binding and pore formation. The motivation behind the investigation of the second system is the improvement of biofuel generation from a renewable source: plant-based biomass. Cellulases are enzymes from bacteria or fungi that break down cellulose – one of the main building blocks of all plant cell walls – into fermentable sugars. In fluorescence microscopy experiments a purified cellulose substrate was used to monitor the motion of three types of cellulases. The insight which we gained into the cellulase behaviour may allow the optimization of the process of cellulose decomposition.