Research graph
References from Deep learning detection of dynamic exocytosis events in fluorescence TIRF microscopy. Local targets link to admitted publications; unresolved targets remain external evidence.
Image segmentation using deep learning: a survey
2022 · External reference
U-Net: convolutional networks for biomedical image segmentation
2015 · External reference
Deep phenotyping: deep learning for temporal phenotype/genotype classification
10.1186/s13007-018-0333-4 · 2018 · External reference
Quantitative digital microscopy with deep learning
2021 · External reference
Deep probabilistic tracking of particles in fluorescence microscopy images
10.1016/j.media.2021.102128 · 2021 · External reference
DetecDiv, a generalist deep-learning platform for automated cell division tracking and survival analysis
10.7554/elife.79519 · 2022 · External reference
Self-supervised dense representation learning for live-cell microscopy with time arrow prediction.
10.1007/978-3-031-43993-3_52 · 2023 · External reference
DeXtrusion: automatic recognition of epithelial cell extrusion through machine learning in vivo
10.1242/dev.201747 · 2023 · External reference
Opportunities and challenges for deep learning in cell dynamics research
10.1016/j.tcb.2023.10.010 · 2024 · External reference
Background fluorescence estimation and vesicle segmentation in live cell imaging with conditional random fields
10.1109/tip.2014.2380178 · 2015 · External reference
Piecewise-stationary motion modeling and iterative smoothing to track heterogeneous particle motions in dense environments
10.1109/tip.2017.2707803 · 2017 · External reference
A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopy
10.7554/elife.32311 · 2018 · External reference
Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D
10.1073/pnas.1804420115 · 2018 · External reference
Spatio-temporal analysis of constitutive exocytosis in epithelial cells
10.1109/tcbb.2006.11 · 2006 · External reference
Dissecting multiple steps of GLUT4 trafficking and identifying the sites of insulin action
10.1016/j.cmet.2006.11.013 · 2007 · External reference
Towards fully automated identification of vesicle-membrane fusion events in TIRF microscopy.
10.1063/1.2816641 · 2007 · External reference
Insulin stimulates membrane fusion and GLUT4 accumulation in clathrin coats on adipocyte plasma membranes
10.1128/mcb.01719-06 · 2007 · External reference
Automatic identification of fusion events in TIRF microscopy image sequences.
2009 · External reference
A patch-based method for repetitive and transient event detection in fluorescence imaging
10.1371/journal.pone.0013190 · 2010 · External reference
Interactive, computer-assisted tracking of speckle trajectories in fluorescence microscopy: application to actin polymerization and membrane fusion
10.1016/j.bpj.2011.09.007 · 2011 · External reference
Spatiotemporal detection and analysis of exocytosis reveal fusion “hotspots” organized by the cytoskeleton in endocrine cells
10.1016/j.bpj.2014.11.3462 · 2015 · External reference
Automatically identifying fusion events between GLUT4 storage vesicles and the plasma membrane in TIRF microscopy image sequences
2015 · External reference
Detection and estimation of membrane diffusion during exocytosis in TIRFM image sequences.
10.1109/isbi.2015.7163968 · 2015 · External reference
Adaptive spot detection with optimal scale selection in fluorescence microscopy images
10.1109/tip.2015.2450996 · 2015 · External reference
An extended model of vesicle fusion at the plasma membrane to estimate protein lateral diffusion from TIRF microscopy images
10.1186/s12859-017-1765-y · 2017 · External reference
Spatiotemporal organization of exocytosis emerges during neuronal shape change
10.1083/jcb.201709064 · 2018 · External reference
Automated detection and analysis of exocytosis
10.3791/62400-v · 2021 · External reference
ExoJ - a Fiji/ImageJ2 plugin for automated spatiotemporal detection and analysis of exocytosis
2024 · External reference
pHusion - a robust and versatile toolset for automated detection and analysis of exocytosis
2024 · External reference
A hierarchical convolutional neural network for vesicle fusion event classification
10.1016/j.compmedimag.2017.04.003 · 2017 · External reference
Semisynthetic fluorescent pH sensors for imaging exocytosis and endocytosis
10.1038/s41467-017-01752-5 · 2017 · External reference
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms
10.1038/s41592-021-01275-4 · 2021 · External reference
SHREC 2020: classification in cryo-electron tomograms
10.1016/j.cag.2020.07.010 · 2020 · External reference
Spatial organization of lysosomal exocytosis relies on membrane tension gradients
10.1073/pnas.2207425120 · 2023 · External reference
Membrane proximal lysosomes are the major vesicles responsible for calcium-dependent exocytosis in nonsecretory cells
10.1083/jcb.200208154 · 2002 · External reference
Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling
10.1083/jcb.201703206 · 2018 · External reference
A Survey on Curriculum Learning
2021 · External reference
Role of HRB in clathrin-dependent endocytosis
10.1074/jbc.m804587200 · 2008 · External reference
RAB6 and microtubules restrict protein secretion to focal adhesions
10.1083/jcb.201805002 · 2019 · External reference
Protein micropatterns: a direct printing protocol using deep UVs
10.1016/s0091-679x(10)97008-8 · 2010 · External reference
Quantifying spatiotemporal parameters of cellular exocytosis in micropatterned cells
10.3791/60801 · 2020 · External reference
Tversky loss function for image segmentation using 3D fully convolutional deep networks.
2017 · External reference
