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miPolScope: rapid label-free imaging across wavelegnths

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miPolScope

This repository provides Jupyter notebooks showing steps in the reconstruction of data presented in Fig. 1 and Fig. 3 of the manuscript

Ivan E. Ivanov, Li-Hao Yeh, Juan A. Perez-Bermejo, Janie R. Byrum, James Y.S. Kim, Manuel D. Leonetti, and Shalin B. Mehta, "Correlative imaging of spatio-angular dynamics of biological systems with multimodal instant polarization microscope" (2022).

Requirements

The notebooks use the waveorder package for data reconstruction and napari for data visualization.

To execute the notebooks create a new conda environment

conda create -n <environment-name> python
conda activate <environment-name>

and install the following packages:

conda install jupyter scikit-image
pip install waveorder  
pip install napari napari-ome-zarr

Data

Raw images and microscope calibration metadata are distributed via Zenodo: DOI

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