Sagykri/NOVA
The official repository for NOVA, a deep learning framework designed for high-throughput organellar phenotyping of perturbed human neurons using AI-driven methodologies
This deep learning framework, NOVA, helps scientists analyze microscopy images of human neurons to identify and classify organelles at a very large scale. It takes your raw microscopy images and outputs detailed phenotyping data, allowing researchers to gain new insights into cellular biology and neurodegenerative diseases. It's designed for cell biologists, neuroscientists, and researchers studying cellular morphology.
Use this if you need to perform high-throughput, AI-driven analysis of organelle characteristics in human neuron images to understand cellular changes.
Not ideal if you are looking for a tool to analyze cell types other than human neurons, or if your primary focus is on broader tissue-level analysis rather than subcellular organelle phenotyping.
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Jan 20, 2026
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