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68 items found for ""American-Society-for-Cell-Biology"-or-ASCB"
- Aivia R&D showcased at CELL BIO virtual 2020 (ASCB - EMBO)
14th of December 2020 - At this year's ASCB - EMBO meeting, "CELL BIO virtual 2020", we are presenting Bellow are the three posters (high resolution print out and downloadable pdf) as well as the respective /ascb/CellBio20/eposters/eposterview.cgi? /ascb/CellBio20/eposters/eposterview.cgi? /ascb/CellBio20/eposters/eposterview.cgi?
- ASCB-EMBO 2018 Poster: Identification of kinetic neurodegeneration events in patient derived cell mo
Abstract: The long term microscopy images of live cell fluorescent reporters expressed on patient derived cell models provide a wealth of big data to study the kinetic phenotypes and biomolecular events of induced motor neurons (iMNs), we developed and optimized a functional reporter Sma-GFP that signals the cell We are developing and optimizing three additional cell functional fluorescent reporters for human patient Japan Y.Shi and J.Ichida are a part of Eli and Edy the Broad Center for Regenerative Medicine and Stem Cell
- ASCB EMBO 2017 Poster: Efficient microscopy image visualization and cell tracking analysis of multi-
technology presented in this poster is part of Aivia (big data volume rendering since version 6, and 3D cell Luciano Lucas was the poster presenter at ASCB EMBO 2017.
- ASCB-EMBO 2019 Poster: Correlative Transformation and Visualization Tool for CLEM Analysis
correlating functional fluorescence microscopy data and ultrastructural information from EM in a common biological This greatly speeds up the studies for neuron circuitry identification and novel cell type discoveries Wong are a part of the Department of Biological Structure at the University of Washington, Seattle, WA
- ASCB-EMBO 2019 Poster: Deep Learning Minimizes the Impact of Fundamental Microscopy Limitations
structured illumination microscopy (iSIM) or a point (resonant) scanning confocal microscopy. 3D live cell imaging of mitochondria and lysosomes using iSIM: training was done using 20 3D image pairs depicting cells Routine live cell iSIM imaging is done at ~ 100 W/cm2 ‐ which significantly limits the length of recordings Poster presented at ASCB-EMBO 2018, San Diego CA Zhang Y, et al.
- ASCB-EMBO 2018 Poster: Hybrid cloud-desktop end-to-end deep learning pipeline for biologists
publications describing new ways to use ML / DL for imaging applications continues to rise sharply, very few biologists These are the major bottlenecks that block biologists and microscopists from taking advantage of DL powered Future work includes the cataloging and benchmarking of popular DL models for arrange of applications as well
- ASCB-EMBO 2019 Poster: Fast and Predictive 3D Neuron Reconstruction for Light Microscopy Images
Cell Research. Aug 2019. 28:803-818. Wang D., et al.
- ASCB-EMBO 2019 Poster: GPU-accelerated Machine Learning-powered 3D Image Segmentation at Scale
Next, we will benchmark the new approach using multiple image sizes as well as >2 segmentation classes Mol Biol Cell 28, 3727 (Abstract: P1046). https://www.molbiolcell.org/doi/suppl/10.1091/mbc.E18-10-0647
- ASCB-EMBO 2019 Poster: Universal EM Connectomic Analysis by DL Powered App‐matching Image Conversion
Furthermore, the resulting deep models are specific to the trained experimental and imaging conditions (called that converts images from a new domain to mimic the images from the domain where an application model (called Wong are a part of the Department of Biological Structure at the University of Washington, Seattle, WA
- ASCB-EMBO 2018 Poster: Deep learning enables long term, gentle super resolution imaging
www.drvtechnologies.com/demo Abstract: Long term imaging of dynamic sub-cellular phenomena in living cells Training was done using thirty six 3D image pairs depicting cells with fluorescently labelled actin. Routine live cell iSIM imaging is done at ~100 W/cm2 – which significantly limits the length of recordings The trained model was also applied to very long (>700 volumetric time points) recordings of cells with shows that our trained DL model has some general applicability as it was trained using actin labelled cells
- ASCB EMBO 2018 Poster: Machine learning powered parameter free 2D and 3D image segmentation and obje
A user only has to define the types of objects he/she is interested in analyzing (e.g. cell cytoplasm
- ASCB-EMBO 2018 Poster: Deep learning enabled neurite segmentation and circuit analysis in retina dev
Authors: H.Sasaki, W.Yu, C.Huang, R.Wong, J.S.Lee, L.A.Lucas R.Wong and W.Yu are part of the Dept. of Biological