DeepTrackAI/DeepTrack2
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.
DeepTrack2 helps researchers and scientists working with microscopy by enabling them to generate, manipulate, and analyze image data. You can feed it existing microscope images or simulate various imaging conditions to produce customized image datasets. This allows for advanced analysis, such as tracking particles or characterizing optical device aberrations, often used by experimental imagers and deep learning practitioners in microscopy.
231 stars.
Use this if you need to create realistic simulated microscopy images to train neural networks or analyze complex image data from your experiments.
Not ideal if you primarily work with TensorFlow for deep learning, as this version no longer supports it.
Stars
231
Forks
60
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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