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14:00
MicroSplit: Semantic Unmixing of Fluorescent Microscopy Data
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Ashesh Ashesh
(Human Technopole)
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14:00
pymmcore-plus: a pure python way to control your microscope with Micro-Manager
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Federico Gasparoli
(Harvard University)
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14:00
Diffusion Models in Microscopy: Bleedthrough Removal, Image Splitting, and Dehazing
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Anirban Ray
(Human Technopole)
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14:00
A contour-based alignment tool enabling to merge data from live acquisition & immunofluorescence
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Anne-Sophie MACE
(CNRS)
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14:00
pyCyto: A Pythonic Cytotoxicity Analysis Pipeline
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Jacky Ka Long Ko
(University of Oxford)
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14:00
Computational modeling of nanoscale synapse morphology and organization using correlative super-resolution microscopy
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Antoine J.-F. Salomon
(IINS)
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14:00
A Comprehensive Image Analysis Pipeline for Investigating Autism Spectrum Disorder-like Behaviours in Drosophila melanogaster
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Arianna Ravera
(University of Lausanne)
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14:00
BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
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Caterina Fuster Barceló
(Universidad Carlos III de Madrid)
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14:00
Semi-automatic tracing and analysis of neurons in Brainbow images
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Clément Caporal
(Ecole Polytechnique/CNRS)
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14:00
Automated mapping of 3D smFISH gene expression data to electron microscopy
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Elena Buglakova
(EMBL)
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14:00
Untangling spaghetti: using BigTrace plugin to analyze 3D filaments in time and space
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Eugene A. Katrukha
(Utrecht University)
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14:00
Deep learning-based classification for label-free microscopy
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Franziska Schöb
(University of Oslo)
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14:00
Phenomic data exploration guides drug discovery in a human disease network
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Alba Guembe Mülberger
(Universitat Autònoma de Barcelona)
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14:00
Deep learning enables cross-modality super-resolution for volumetric reconstruction
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Hyoungjun Park
(EMBL & ETH Zürich)
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14:00
napari-signal-classifier: Leveraging Interactive Temporal Features Annotation to Classify Signals and Events
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Marcelo Leomil Zoccoler
(Physics of Life (PoL) - TU Dresden)
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14:00
Morphodynamics of human brain organoid development
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Akanksha Jain
(ETH Zürich)
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14:00
BrainGlobe: Accessible software for neuroanatomy of emerging model organisms
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Alessandro Felder
(University College London)
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14:00
Quantification of microtubule-guided peroxisome migration using a hidden Markov chain model
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Carl-Magnus Svensson
(Leibniz-HKI)
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14:00
Run-length based mathematical morphology for efficient processing of large 3D images
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David Legland
(INRAE)
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14:00
A Cloud-Native Virtual Bioimage Analysis Research Desktop (BARD) for Deployment of Containerised Bioimage Tools on Kubernetes
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Arif Khan
(EMBL Heidelberg)
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14:00
Shaping progress in biomedical image processing with project-based learning
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Andreas Kist
(Friedrich-Alexander-University Erlangen-Nürnberg)
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14:00
Example of a FBIAS project: mutliple fish tracking
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Arthur Meslin
(FBIAS, Institut Curie)
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14:00
High-throughput in-vivo single-molecule imaging of DNA repair in E. coli
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Daniel Thedie
(University of Edinburgh)
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14:00
Unsupervised Model Selection Through Test Time Perturbation Consistency
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Joshua Talks
(EMBL)
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14:00
Light-Insight: Spatiotemporal profiling of human early brain organoid development.
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Gilles Gut
(ETH Zürich)
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14:00
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
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Austin E. Y. T. Lefebvre
(Calico Life Sciences LLC)
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14:00
FAIR Image Analysis Workflows
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Beatriz Serrano-Solano
(Euro-BioImaging)
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14:00
Enhancing Image Resolution Through Averaged Autocorrelation Inversion
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Daniele Ancora
(EMBL)
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14:00
Exploring gene function and morphology using JUMP Cell Painting Consortium data
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Alán Fernando Muñoz González
(Broad Institute of Harvard and MIT)
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14:00
conv-paint: an easy to train interactive pixel classifier for napari
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Lucien Hinderling
(Institute of Cell Biology - Universität Bern)
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14:00
Discovering explanatory factors of spatial localization with point process models
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Dominik Sturm
(TU Dresden / MPI-CBG)
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14:00
TopoStats: taking AFM analysis to new heights
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Laura Wiggins
(University of Sheffield)
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14:00
nlScript: A framework for creating natural-language-based user interfaces
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Benjamin Schmid
(OICE, Friedrich-Alexander-Universität Erlangen-Nürnberg)
Ralph Palmisano
(Optical Imaging Competence Centre Erlangen, FAU OICE)
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14:00
Detecting immunological synapses in patient samples through analysis of Imaging Flow Cytometry data
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Bram van den Broek
(The Netherlands Cancer Institute)
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14:00
Automating the Neuronal Differentiation of Ntera-2 Cells
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Heather McCourty
(University of Sheffield)
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14:00
Using Nextflow for scalable and reproducible batch image analysis
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Christian Tischer
(EMBL)
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14:00
Pollen to pixels: perception of heat stress by machine learning to predict fertility
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Daan van den Brink
(Radboud University)
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14:00
Investigating the structural complexities of DNA using high resolution atomic force microscopy
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Harriet Read
(University of Sheffield)
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14:00
Machine learning based Evaluation and Enhancement (EVEN) for optical microscopy
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Elena Corbetta
(Friedrich-Schiller-Universität Jena)
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14:00
Pre-Processing Quality Control and Image Exploration for Bioimage Analysis: A Novel Python Application
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Ranit Karmakar
(Harvard Medical School)
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14:00
User-oriented tools to characterize epithelia dynamics
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Gaëlle Letort
(CNRS/Institut Pasteur)
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14:00
Cell lineage reconstruction and comparison from light-sheet microscopy image datasets
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Ioannis Liaskas
(Institute of Molecular Biology and Biotechnology of the Foundation for Research and Technology Hellas (IMBB-FORTH))
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14:00
Mars, a molecule archive suite for analysis of single molecule properties from bioimages
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Karl Duderstadt
(Technical University of Munich (TUM))
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14:00
Fiji Progress and Priorities 2024
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Curtis Rueden
(University of Wisconsin-Madison)
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14:00
From pixels to insights: Learning morphological descriptors from cellular ultrastructure
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Jonas Hellgoth
(EMBL Heidelberg)
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14:00
Automated Tracking and Analysis of Plasma Membrane Dynamics in TIRF-SIM
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Adam Harmanec
(Masaryk University, Brno & Charles University, Prague)
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14:00
Bilayers - an easy way to make your favorite deep learning tool more user-friendly
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Beth Cimini
(Broad Institute)
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14:00
fsdb - an open-source bioimage analysis and (meta) data management framework
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Arnim Jenett
(CNRS, TEFOR Paris-Saclay)
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14:00
Quantifying intra-tumoral molecular subtype heterogeneity in MIBC from histological slides using a deep learning approach
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Alice Blondel
(Centre for Computational Biology (CBIO), Mines Paris, PSL University)
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14:00
High-throughput microscopy for deciphering the genetics of cell cycle diversity in wild yeasts
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Benedikt Mairhörmann
(Helmholtz Munich)
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14:00
Using deep learning on single-cell images to unlock novel disease signatures and candidate therapeutics
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Bianca Migliori
(The New York Stem Cell Foundation)
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14:00
Beyond spot detection with spotMAX
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Francesco Padovani
(Helmholtz Munich)
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14:00
Segmentation of budding yeast organelles from bright field time-lapses
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Diane Adjavon
(HHMI Janelia/University of Edinburgh)
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16:15
Interpreting Microscopy Images with Machine Learning
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Inês Martins Cunha
(SciLifeLab, University of Stockholm)
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16:27
A Bayesian solution to count the number of molecules within a diffraction limited spot
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Alexander Hillsley
(Howard Hughes Medical Institute)
-
16:27
An Image Analysis Pipeline for Quantifying the Spatial Distribution of Fluorescently Labeled Cell Markers in Stroma-Rich Tumors
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Antoine Ruzette
(Harvard Medical School)