An objective comparison of cell-tracking algorithms

We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell segmentation and tracking algorithms. With 21 participating algorithms and a data repository consisting of 13 data sets from various microscopy modalities, the challenge displays today's state-of-the-art methodology in the field. We analyzed the challenge results using performance measures for segmentation and tracking that rank all participating methods. We also analyzed the performance of all of the algorithms in terms of biological measures and practical usability. Although some methods scored high in all technical aspects, none obtained fully correct solutions. We found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the challenge

The cartography of cell motion

Cell motility plays an important role throughout biology, the polymerisation of actin being fundamental in producing protrusive force. However, it is increasingly apparent that intracellular pressure, arising from myosin-II contraction, is a co-driver of motility. In its extreme form, pressure manifests itself as hemispherical protrusions, referred to as blebs, where membrane is torn from the underlying cortex. Although many components and signalling pathways have been identified, we lack a complete model of motility, particularly of the regulation and mechanics of blebbing. Advances in microscopy are continually improving the quality of time series image data, but the absence of highthroughput tools for extracting quantitative numbers remains an analysis bottle-neck. We develop the next generation of the successful QuimP software designed for automated analysis of motile cells, producing quantitative spatio-temporal maps of protein distributions and changes in cell morphology. Key to QuimP's new functionality, we present the Electrostatic Contour Migration Method (ECMM) that provides high resolution tracking of local deformation with better uniformity and efficiency than rival methods. Photobleaching experiments are used to give insight into the accuracy and limitations of in silico membrane tracking algorithms. We employ ECMM to build an automated protrusion tracking method (ECMM-APT) sensitive not only to pseudopodia, but also the complex characteristics of high speed blebs. QuimP is applied to characterising the protrusive behaviour of Dictyostelium, induced to bleb by imaging under agar. We show blebs are characterised by distinct speed-displacement distributions, can reach speeds of 4.9μm/sec, and preferentially form at the anks during chemotaxis. Significantly, blebs emerge from at to concave membrane regions suggesting curvature is a major determinant of bleb location, size, and speed. We hypothesise that actin driven pseudopodia at the leading edge induce changes in curvature and therefore membrane tension, positive curvature inhibiting blebbing at the very front, and negative curvature enhancing blebbing at the sides. This possibly provides the necessary space for rear advancement. Furthermore, bleb kymographs reveal a retrograde shift of the cortex at the point of bleb expansion, suggesting inward contractive forces acting on the cortex even at concave regions. Strains defficient in phospholipid signalling show impaired chemotaxis and blebbing. Finally, we present further applications of QuimP, for example, we conclusively show that dishevelled is not polarised during Xenopus gastrulation, contrary to hypotheses in the literature

Tracking and analysis of movement at different scales: from endosomes to humans

Movement is apparent across all spatio-temporal scales in biology and can have a significant effect on the survival of the individual. For this reason, it has been the object of study in a wide range of research fields, i.e. in molecular biology, pharmaceutics, medical research but also in behavioural biology and ecology. The aim of the thesis was to provide methodologies and insight on the movement patterns seen at different spatio-temporal scales in biology; the intra-cellular, the cellular and the organism level. At the intra-cellular level, current thesis studied the compartmental inheritance in Human Osteosarcoma (U2-OS) cells. The inheritance pattern of the endosomal quantum dot fluorescence across two consecutive generations was for first time empirically revealed. In addition, a in silico model was developed to predict the inheritance across multiple generations. At the cellular level, a semi-automated routine was developed that can realize long-term nuclei tracking in U2-OS cell populations labeled with a cell cycle marker in their cytoplasm. A method to extract cell cycle information without the need to explicitly segment the cells was proposed. The movement behaviour of the cellular population and their possible inter-individual differences was also studied. Lastly, at the organism level, the focus of the thesis was to study the emergence of coordination in unfamiliar free-swimming stickleback fish shoals. It was demonstrated that there exist two different phases, the uncoordinated and the coordinated. In addition, the significance of uncoordinated phase to the establishment of the group’s social network was for first time evinced. The adaptation of the stickleback collectives was also studied over time, i.e. the effect of group’s repeated interactions on the emergence of coordination. Findings at the intra-cellular and cellular level can have significant implications on medical and pharmaceutical research. Findings at the organism level can also contribute to the understanding of how social interactions are formed and maintained in animal collectives

New algorithms for the analysis of live-cell images acquired in phase contrast microscopy

La détection et la caractérisation automatisée des cellules constituent un enjeu important dans de nombreux domaines de recherche tels que la cicatrisation, le développement de l'embryon et des cellules souches, l’immunologie, l’oncologie, l'ingénierie tissulaire et la découverte de nouveaux médicaments. Étudier le comportement cellulaire in vitro par imagerie des cellules vivantes et par le criblage à haut débit implique des milliers d'images et de vastes quantités de données. Des outils d'analyse automatisés reposant sur la vision numérique et les méthodes non-intrusives telles que la microscopie à contraste de phase (PCM) sont nécessaires. Comme les images PCM sont difficiles à analyser en raison du halo lumineux entourant les cellules et de la difficulté à distinguer les cellules individuelles, le but de ce projet était de développer des algorithmes de traitement d'image PCM dans Matlab® afin d’en tirer de l’information reliée à la morphologie cellulaire de manière automatisée. Pour développer ces algorithmes, des séries d’images de myoblastes acquises en PCM ont été générées, en faisant croître les cellules dans un milieu avec sérum bovin (SSM) ou dans un milieu sans sérum (SFM) sur plusieurs passages. La surface recouverte par les cellules a été estimée en utilisant un filtre de plage de valeurs, un seuil et une taille minimale de coupe afin d'examiner la cinétique de croissance cellulaire. Les résultats ont montré que les cellules avaient des taux de croissance similaires pour les deux milieux de culture, mais que celui-ci diminue de façon linéaire avec le nombre de passages. La méthode de transformée par ondelette continue combinée à l’analyse d'image multivariée (UWT-MIA) a été élaborée afin d’estimer la distribution de caractéristiques morphologiques des cellules (axe majeur, axe mineur, orientation et rondeur). Une analyse multivariée réalisée sur l’ensemble de la base de données (environ 1 million d’images PCM) a montré d'une manière quantitative que les myoblastes cultivés dans le milieu SFM étaient plus allongés et plus petits que ceux cultivés dans le milieu SSM. Les algorithmes développés grâce à ce projet pourraient être utilisés sur d'autres phénotypes cellulaires pour des applications de criblage à haut débit et de contrôle de cultures cellulaires.Automated cell detection and characterization is important in many research fields such as wound healing, embryo development, immune system studies, cancer research, parasite spreading, tissue engineering, stem cell research and drug research and testing. Studying in vitro cellular behavior via live-cell imaging and high-throughput screening involves thousands of images and vast amounts of data, and automated analysis tools relying on machine vision methods and non-intrusive methods such as phase contrast microscopy (PCM) are a necessity. However, there are still some challenges to overcome, since PCM images are difficult to analyze because of the bright halo surrounding the cells and blurry cell-cell boundaries when they are touching. The goal of this project was to develop image processing algorithms to analyze PCM images in an automated fashion, capable of processing large datasets of images to extract information related to cellular viability and morphology. To develop these algorithms, a large dataset of myoblasts images acquired in live-cell imaging (in PCM) was created, growing the cells in either a serum-supplemented (SSM) or a serum-free (SFM) medium over several passages. As a result, algorithms capable of computing the cell-covered surface and cellular morphological features were programmed in Matlab®. The cell-covered surface was estimated using a range filter, a threshold and a minimum cut size in order to look at the cellular growth kinetics. Results showed that the cells were growing at similar paces for both media, but their growth rate was decreasing linearly with passage number. The undecimated wavelet transform multivariate image analysis (UWT-MIA) method was developed, and was used to estimate cellular morphological features distributions (major axis, minor axis, orientation and roundness distributions) on a very large PCM image dataset using the Gabor continuous wavelet transform. Multivariate data analysis performed on the whole database (around 1 million PCM images) showed in a quantitative manner that myoblasts grown in SFM were more elongated and smaller than cells grown in SSM. The algorithms developed through this project could be used in the future on other cellular phenotypes for high-throughput screening and cell culture control applications

COLLECTIVE MIGRATION STUDY OF BREAST CANCER CELLS IN 2D

Ph.DDOCTOR OF PHILOSOPH

Particle Filtering Methods for Subcellular Motion Analysis

Advances in fluorescent probing and microscopic imaging technology have revolutionized biology in the past decade and have opened the door for studying subcellular dynamical processes. However, accurate and reproducible methods for processing and analyzing the images acquired for such studies are still lacking. Since manual image analysis is time consuming, potentially inaccurate, and poorly reproducible, many biologically highly relevant questions are either left unaddressed, or are answered with great uncertainty. The subject of this thesis is particle filtering methods and their application for multiple object tracking in different biological imaging applications. Particle filtering is a technique for implementing recursive Bayesian filtering by Monte Carlo sampling. A fundamental concept behind the Bayesian approach for performing inference is the possibility to encode the information about the imaging system, possible noise sources, and the system dynamics in terms of probability density functions. In this thesis, a set of novel PF based metho

Dichotomic role of NAADP/two-pore channel 2/Ca2+ signaling in regulating neural differentiation of mouse embryonic stem cells

Poster Presentation - Stem Cells and Pluripotency: abstract no. 1866The mobilization of intracellular Ca2+stores is involved in diverse cellular functions, including cell proliferation and differentiation. At least three endogenous Ca2+mobilizing messengers have been identified, including inositol trisphosphate (IP3), cyclic adenosine diphosphoribose (cADPR), and nicotinic adenine acid dinucleotide phosphate (NAADP). Similar to IP3, NAADP can mobilize calcium release in a wide variety of cell types and species, from plants to animals. Moreover, it has been previously shown that NAADP but not IP3-mediated Ca2+increases can potently induce neuronal differentiation in PC12 cells. Recently, two pore channels (TPCs) have been identified as a novel family of NAADP-gated calcium release channels in endolysosome. Therefore, it is of great interest to examine the role of TPC2 in the neural differentiation of mouse ES cells. We found that the expression of TPC2 is markedly decreased during the initial ES cell entry into neural progenitors, and the levels of TPC2 gradually rebound during the late stages of neurogenesis. Correspondingly, perturbing the NAADP signaling by TPC2 knockdown accelerates mouse ES cell differentiation into neural progenitors but inhibits these neural progenitors from committing to the final neural lineage. Interestingly, TPC2 knockdown has no effect on the differentiation of astrocytes and oligodendrocytes of mouse ES cells. Overexpression of TPC2, on the other hand, inhibits mouse ES cell from entering the neural lineage. Taken together, our data indicate that the NAADP/TPC2-mediated Ca2+signaling pathway plays a temporal and dichotomic role in modulating the neural lineage entry of ES cells; in that NAADP signaling antagonizes ES cell entry to early neural progenitors, but promotes late neural differentiation.postprin

Apports de la microscopie biphotonique intravitale pulmonaire à l'étude de la physiopathologie de la maladie du charbon

Bacillus anthracis, l'agent infectieux responsable de la maladie du charbon, est un agent pathogène majeur du risque biologique provoqué, notamment en raison de la sévérité de la forme respiratoire de la maladie. Celle-ci résulte de l'inhalation de spores dont les mécanismes de pénétration au niveau pulmonaire sont mal connus à l'heure actuelle. Cette thèse présente les apports des microscopies confocale et biphotonique à l'étude de ces mécanismes de pénétration des spores inhalées. Le modèle murin CX3CR1+/gfp, dont la sous-population CD11b+ de cellules dendritiques (DCs) exprime constitutivement la protéine de fluorescence verte (GFP), a été utilisé dans ces travaux. Une première partie présente le développement d'une méthode automatisée de discrimination des DCs parmi d'autres populations cellulaires exprimant le même fluorophore, en se basant sur le calcul d'un coefficient morphologique. Cette méthode a permis d'étudier dans un deuxième temps le comportement spécifique de la sous-population de DCs CD11b, après infection par des spores de B. anthracis. L'étude microscopique a été d'abord effectuée in situ, c'est-à-dire sur des explants pulmonaires maintenus dans des conditions favorables à la préservation de l'activité cellulaire, puis in vivo, sur des souris anesthésiées et ventilées. Le protocole d'imagerie tire profit d'une stratégie d'acquisition et de traitement a posteriori des données permettant de surmonter, sans contrainte mécanique appliquée à l'organe, les problèmes de focalisation liés aux mouvements thoraciques durant la ventilation de l'animal. Cette stratégie originale utilise un sur-échantillonnage de l'acquisition et profite du signal de seconde harmonique généré par le collagène comme référence spatiale ; elle a permis l'observation in vivo d'interactions entre DCs et macrophages au niveau pulmonaire. Ces interactions, de type synapse immunologique, sont favorisées par l'infection et présentent donc un rôle fonctionnel qui reste à définir. La formation de synapses immunologiques entre macrophages et DCs pourrait non seulement représenter un chaînon manquant à l'explication de la pénétration des spores de B. anthracis au niveau pulmonaire, mais pourrait aussi constituer un enjeu crucial dans la compréhension de la réponse immunitaire associée aux infections pulmonaires.Bacillus anthracis, the causative agent of anthrax, is a major bioterrorism pathogen mainly because it can lead to a severe respiratory form of the disease. This form results from inhalation of spores, whose ways of entry into the lungs are not fully understood. This thesis reports the contribution of confocal and two-photon microscopy to the study of the penetration mechanisms of inhaled spores. The animal model utilized was CX3CR1+/gfp mouse, which constitutively expresses the green fluorescent protein (GFP) on CD11b+ dendritic cells (DCs). First, we present an automated method allowing discrimination of DCs among other GFP expressing cells, based on a morphologic coefficient. This method was then applied to the study of the specific behavior of CD11b DCs, after infection by B. anthracis spores. The microscopic study was first performed in situ, i.e. on explanted organs kept in conditions favorable to cell dynamics, then in vivo, i.e. on anesthetized and ventilated mice. In this case the imaging protocol profits from both acquisition and post-processing strategies, and allowed overcoming the focalization pitfalls coming from chest movements during ventilation. This novel strategy is based on an over-sampling of frame acquisition and utilizes second harmonic generation signal from alveolar collagen as a spatial reference. It led to the first ever in vivo observation of interactions between DCs and macrophages at the lung level. These immunological synapse-like structures are promoted by infection and thus display a functional role unknown until now. The formation of macrophages-DCs immunological synapses not only could represent a missing-link in figuring out the B. anthracis spore penetration mechanisms at the lung level, but more importantly could lead to a better understanding of the immune response associated with pulmonary infections.SAVOIE-SCD - Bib.électronique (730659901) / SudocGRENOBLE1/INP-Bib.électronique (384210012) / SudocGRENOBLE2/3-Bib.électronique (384219901) / SudocSudocFranceF