A5009549493- Neuroscience and Neural Engineering
- Advanced Fluorescence Microscopy Techniques
- Neuroscience and Neuropharmacology Research
- Digital Holography and Microscopy
- Cell Image Analysis Techniques
- Advanced Memory and Neural Computing
- Erythrocyte Function and Pathophysiology
- Lipid Membrane Structure and Behavior
- Cellular transport and secretion
- Lung Cancer Treatments and Mutations
- Neural dynamics and brain function
- Image Processing Techniques and Applications
- Graphite, nuclear technology, radiation studies
- Electrochemical Analysis and Applications
- Cannabis and Cannabinoid Research
- Cancer Mechanisms and Therapy
- Liver physiology and pathology
- RNA Research and Splicing
- Force Microscopy Techniques and Applications
- Optical Coherence Tomography Applications
- Olfactory and Sensory Function Studies
- Neurogenesis and neuroplasticity mechanisms
- Protein Structure and Dynamics
- Axon Guidance and Neuronal Signaling
- Advanced Electron Microscopy Techniques and Applications
Aix-Marseille Université
2022-2024
Centre National de la Recherche Scientifique
2022-2024
Université Laval
2021-2023
Inserm
2011-2015
Université de Bordeaux
2011-2015
Neurocentre Magendie
2011-2014
International Centre for Genetic Engineering and Biotechnology
2011
Abstract Live-cell super-resolution microscopy enables the imaging of biological structure dynamics below diffraction limit. Here we present enhanced radial fluctuations (eSRRF), substantially improving image fidelity and resolution compared to original SRRF method. eSRRF incorporates automated parameter optimization based on data itself, giving insight into trade-off between fidelity. We demonstrate across a range modalities systems. Notably, extend three dimensions by combining it with...
Adult neurogenesis is a process by which the brain produces new neurons once development has ceased. hippocampal been linked to relational processing of spatial information, role attributed contribution newborn long-term potentiation (LTP). However, whether also influence depression (LTD), and how synaptic transmission plasticity are affected as they incorporate their network, remain be determined. To address these issues, we took advantage genetic model in majority adult-born can...
Traditional approaches for finding well-performing parameterizations of complex imaging systems, such as super-resolution microscopes rely on an extensive exploration phase over the illumination and acquisition settings, prior to task. This strategy suffers from several issues: it requires a large amount parameter configurations be evaluated, leads discrepancies between parameters in task, results waste time resources given that optimization final tasks are conducted separately. Here we show...
ABSTRACT Exocytosis is a fundamental process used by eukaryotes to regulate the composition of plasma membrane and facilitate cell–cell communication. To investigate exocytosis in neuronal morphogenesis, previously we developed computational tools with graphical user interface enable automatic detection analysis exocytic events from fluorescence timelapse images. Although these were useful, found code was brittle not easily adapted different experimental conditions. Here, validated robust...
Abstract The nanoscale organization of the F-actin cytoskeleton in neurons comprises membrane-associated periodical rings, bundles, and longitudinal fibers. rings have been observed predominantly axons but only sporadically dendrites, where fluorescence nanoscopy reveals various patterns arranged mixed patches. These complex dendritic pose a challenge for investigating quantitatively their regulatory mechanisms. We developed here weakly supervised deep learning segmentation approach images...
Super-resolution fluorescence microscopy methods enable the characterization of nanostructures in living and fixed biological tissues. However, they require adjustment multiple imaging parameters while attempting to satisfy conflicting objectives, such as maximizing spatial temporal resolution minimizing light exposure. To overcome limitations imposed by these trade-offs, post-acquisition algorithmic approaches have been proposed for enhancement image-quality improvement. Here we introduce...
ABSTRACT Coordinated assembly of individual components into higher-order structures is a defining theme in biology, but underlying principles are not well-understood. In neurons, α/β spectrins, adducin, and actinfilaments assemble lattice wrapping underneath the axonal plasma membrane, mechanistic events leading to this periodic structure (PAS) unclear. Visualizing PAS axons as they develop, we found focal patches distal containing spectrins adducin (but sparse actin filaments) with...
The organization of proteins in the apposed nanodomains pre- and post-synaptic compartments is thought to play a pivotal role synaptic strength plasticity. As such, alignment between postsynaptic may regulate, for example, rate presynaptic release or signaling. However, analysis these structures has mainly been restricted subsets synapses, providing limited view diversity protein cluster remodelling during To characterize changes plasticity over large population we combined STimulated...
Abstract Chemical synapses are fundamental units for the transmission of information throughout nervous system. The cyto-skeleton allows to build, maintain and transform both pre- postsynaptic contacts, yet its organization role unique synaptic nanostructures still poorly understood. Here we present a presynapse-on-glass model where presynaptic specializations robustly induced along axons cultured neurons by micropatterned dots neuroligin, allowing controlled orientation easy optical...
Abstract Ca 2+ imaging methods are widely used for studying cellular activity in the brain, allowing detailed analysis of dynamic processes across various scales. Enhanced by high-contrast optical microscopy and fluorescent sensors, this technique can be to reveal localized fluctuations within neurons, including sub-cellular compartments, such as dendritic shaft or spines. Despite advances miniature Synaptic Calcium Transients (mSCTs), characterized variability morphology low signal-to-noise...
We developed a positive unlabeled deep learning scheme for detection and segmentation of miniature synaptic calcium transients. Combining feature analysis, it measures the impact cLTP on transient morphology dynamics.
Abstract The nanoscale organization of the F-actin cytoskeleton in neurons comprises membrane-associated periodical rings, bundles, and longitudinal fibers. rings have been observed predominantly axons but only sporadically dendrites, where fluorescence nanoscopy reveals various patterns arranged mixed patches. These complex dendritic pose a challenge for investigating quantitatively their regulatory mechanisms. We developed here weakly supervised deep learning segmentation approach images...
Abstract We introduce a deep learning model that predicts super-resolved versions of diffraction-limited microscopy images. Our model, named Task- Assisted Generative Adversarial Network (TA-GAN), incorporates an auxiliary task (e.g. segmentation, localization) closely related to the observed biological nanostructures characterization. evaluate how TA-GAN improves generative accuracy over unassisted methods using images acquired with different modalities such as confocal, brightfield...
Abstract Axl is a receptor tyrosine kinase of the family TAM receptors (which includes TYRO3 and MER) plays roles in different types cancer. It highly expressed metastatic colon carcinoma, gastric, uterine endometrial certain breast cancer, sarcoma. As upregulated several cell it may play role during invasion metastasis. Tyrosine kinases (TKs) represent major class proto-oncogenes are involved tumor growth as well progression metastasis cancer cells. TKs being actively studied targets for...
Exocytosis is a fundamental process used by eukaryotic cells to regulate the composition of plasma membrane and facilitate cell-cell communication. To investigate role exocytosis plays in neuronal morphogenesis, previously we developed computational tools with graphical user interface (GUI) enable automatic detection analysis exocytic events (ADAE GUI) from fluorescence timelapse images. Though these have proven useful, found that code was brittle not easily adapted different experimental...