Real-time, interactive exploration of 3D image stacks
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Updated
Nov 25, 2019 - Python
Real-time, interactive exploration of 3D image stacks
Global analysis platform for fluorescence data
This repository contains the code developed for the Fluorescence Images of Skin Lesions and Automated Diagnosis Using Convolutional Neural Networks paper. It provides tools and scripts for skin lesion analysis and classification using deep learning models.
A python code for analyzing photobleaching in fluorescence microscopy from a time series TIF image stack
Software and data associated with the article titled, "Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA," Biophys. J. Accepted, (2023). doi:10.1016/j.bpj.2023.03.002
Take Olympus vsi stacks. Bleach-correct, write out ome-tiff. Save clicks.
SUTD 2020 10.007 Modelling the Systems World 1D Project
Scripts to create an Opal unmixing matrix and applying it to unmixed raw qptiff files. Exporting unmixed images to ome.tiff
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