CellOrganizer on Jupyter Notebook
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Updated
May 22, 2023 - Jupyter Notebook
CellOrganizer on Jupyter Notebook
CYCASP is a methodology for investigating and understanding (C)olon(Y) growth and (C)ell (A)ttributes at the population level. It couples (SP)atiotemporal changes by relying on two novel data abstractions and a modular algorithm.
cialab/DeepSlides fork to make it work with newer Python libraries.
🐳 Script to build a Singularity image for CellOrganizer
Analysis of single molecule localization microscopy. 'pointpattern': statistical analysis. 'image': image processing+analysis+classification
SeeVIS is a (S)egmentation-fr(ee) (VIS)ualization pipeline for time-lapse image data. It comprises three steps: 1. preprocessing, 2. feature extraction, and 3. an extended version of the space time cube with three novel color mappings adapted to cell colony growth.
ViCAR extracts and employs (Vi)sual (C)ues for an (A)daptive (R)egistration of time-lapse image data recorded in microfluidic devices.
Track single-cells and profile the cell cycle with PCNA images.
Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub in Bioconductor)
CellOrganizer for Docker
imageC / EVAnalyzer2 - High throughput biological image processor
A Fiji plugin that automatically quantify synapses from multi-channel fluorescence microscopy images.
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
The official deployment of the Digital Slide Archive and HistomicsTK.
AI-based pathology predicts origins for cancers of unknown primary - Nature
A vision-language foundation model for computational pathology - Nature Medicine
A Python toolkit for pathology image analysis algorithms.
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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