Generative Adversarial Network for single image super-resolution in high content screening microscopy images
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Updated
Jan 20, 2018 - Jupyter Notebook
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Self-Supervised Vision Transformers for multiplexed imaging datasets
BIOMERO - A python library for easy connecting between OMERO (jobs) and a Slurm cluster
A flexible Julia toolkit for high-dimensional cellular profiles
Microsnoop: A generalist tool for microscopy image representation
A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.
Scripts for use with BIOMERO
Command-line tool to process images from PerkinElmer microscopes
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.
Interactive visualisation of quantitative concepts in high-content screening
Python scripts for the SearchFirst option in Wako Software Suite
Analysis at single-cell level with HCS microscopy and Cell Profiler
Metadata files for idr0056 submission
Metadata files for the idr0061 submission
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