Skip to main content

Computational microscopy toolkit for label-free imaging

Project description

recOrder

PyPI - Python Version Downloads Python package index Development Status

This package provides a napari plugin and a command line interface for quantitative label-free microscopy.

In this repository you will find python tools and a napari plugin that allow the user to calibrate microscope hardware, acquire multi-modal data, reconstruct density and anisotropy, and visualize the results.

The acquisition, calibration, background correction, reconstruction, and applications of QLIPP (quantitative label-free imaging with phase and polarization) are described in the following E-Life Paper:

Syuan-Ming Guo, Li-Hao Yeh, Jenny Folkesson, Ivan E Ivanov, Anitha P Krishnan, Matthew G Keefe, Ezzat Hashemi, David Shin, Bryant B Chhun, Nathan H Cho, Manuel D Leonetti, May H Han, Tomasz J Nowakowski, Shalin B Mehta, "Revealing architectural order with quantitative label-free imaging and deep learning," eLife 2020;9:e55502 DOI: 10.7554/eLife.55502 (2020).

recOrder is to be used alongside a conventional widefield microscope fitted with a universal polarizer (Panel A below). The universal polarizer allows for the collection of label-free information including the intrinsic anisotropy of the sample and its relative phase (density). These measurements are collected by acquiring data under calibrated, polarization-diverse illumination followed by a computational reconstruction. The overall structure of recOrder is shown in Panel B, highlighting the two different usage modes and their features: graphical user interface (GUI) through a napari plugin, and a command line interface (CLI).

Flow Chart

Dataset

Slides and a dataset shared during a workshop on QLIPP and recOrder can be found on Zenodo.

DOI DOI

Quick Start

(Optional but recommended) install anaconda and create a virtual environment:

conda create -y -n recOrder python=3.9
conda activate recOrder

Apple Silicon users please use:

CONDA_SUBDIR=osx-64 conda create -y -n recOrder python=3.9
conda activate recOrder

Install recOrder-napari:

pip install recOrder-napari

Open napari with recOrder-napari:

napari -w recOrder-napari

View command-line help by running

recOrder.help

For more help, see recOrders documentation.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recOrder-napari-0.2.0.tar.gz (12.2 MB view details)

Uploaded Source

Built Distribution

recOrder_napari-0.2.0-py3-none-any.whl (12.3 MB view details)

Uploaded Python 3

File details

Details for the file recOrder-napari-0.2.0.tar.gz.

File metadata

  • Download URL: recOrder-napari-0.2.0.tar.gz
  • Upload date:
  • Size: 12.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for recOrder-napari-0.2.0.tar.gz
Algorithm Hash digest
SHA256 203f9d8144000b1f48c6ddeed564a63ce3f15d8a8496c53684517ecadd035f1e
MD5 cc5dd1e6a8b75ce7b32434a62e61ef89
BLAKE2b-256 9a9a1ee16c06f31fd33845f3619b9fe256b8f1a26dcfc4c0b4d93a92b76b3439

See more details on using hashes here.

File details

Details for the file recOrder_napari-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for recOrder_napari-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 22cb509d515efbfe2ccc63e66c920ad269dc100f6d002ec29401f8a39b5d24b3
MD5 2c2a698df852871cfd56504a5d79bf3e
BLAKE2b-256 37d6b4369e35a064cd7e7c47a787b4d41fb17634d276cc5c2ca8990efb08f972

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page