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Trainable multi-modal whole slide image scanner built on motorized microscope

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SmartPath: an open-source automatic multimodal whole slidehistopathology imaging system

SmartPath is an open-source multimodal whole slide histopathology imaging system with the capabilities of automaticmodality switching, region of interest detection, and run-time image processing, empowered by deep learning. The acquisition program is written in Jupyter Notebook/JupyterLab and uses Pycro-Manager for hardware control.

Installation

Install anaconda/miniconda.
Open terminal or Anaconda Prompt in Windows.
Install required packages:

  $ conda env create --name smartpath --file env.yml
  $ conda activate smartpath
  $ pip install pycromanager

Install PyTorch, pick GPU or CPU version.

Software requirement

Micro-manager 2.0 gamma, OpenScan, QuPath and FIJI. See document for details.

How to use

See step-by-step instructions in the notebook.

Related repositories

Supervised and weakly supervised classifier for histological datasets: https://github.com/uw-loci/histo-classifier.
Run-time image enhancement for laser scanning microscopy with self-supervised denoising and single-image super-resolution: https://github.com/uw-loci/lsm-run-time-enhancement.

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Trainable multi-modal whole slide image scanner built on motorized microscope

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