A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.
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Updated
Jan 23, 2022 - Jupyter Notebook
A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.
Novel ultrafast suite for high-throughput & high-content multiparameter screening as in drug discovery. It has unique modules for QC, bias correction, similarity measurement, clustering and visualization. It can process hundreds of samples with many markers in a few hours not days & circumvents bath effect. It couples with any plate reader.
Analysis at single-cell level with HCS microscopy and Cell Profiler
Metadata files for the idr0061 submission
Python scripts for the SearchFirst option in Wako Software Suite
Interactive visualisation of quantitative concepts in high-content screening
Microsnoop: A generalist tool for microscopy image representation
Scripts for use with BIOMERO
A flexible Julia toolkit for high-dimensional cellular profiles
BIOMERO - A python library for easy connecting between OMERO (jobs) and a Slurm cluster
Metadata files for idr0056 submission
Self-Supervised Vision Transformers for multiplexed imaging datasets
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
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