Skip to main content

Computational microscopy toolkit for label-free imaging

Project description

recOrder

PyPI - Python Version Python package index download statistics Python package index Development Status

recOrder is a collection of computational imaging methods. It currently provides QLIPP (quantitative label-free imaging with phase and polarization), phase from defocus, and fluorescence deconvolution.

Unveiling the invisible

Acquisition, calibration, background correction, reconstruction, and applications of QLIPP 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).

These are the kinds of data you can acquire with recOrder and QLIPP:

https://user-images.githubusercontent.com/9554101/271128301-cc71da57-df6f-401b-a955-796750a96d88.mov

https://user-images.githubusercontent.com/9554101/271128510-aa2180af-607f-4c0c-912c-c18dc4f29432.mp4

What do I need to use recOrder

recOrder is to be used alongside a conventional widefield microscope. For QLIPP, the microscope must be fitted with an analyzer and a universal polarizer:

https://user-images.githubusercontent.com/9554101/273073475-70afb05a-1eb7-4019-9c42-af3e07bef723.mp4

For phase-from-defocus or fluorescence deconvolution methods, the universal polarizer is optional.

The overall structure of recOrder is shown in Panel B, highlighting the structure of the graphical user interface (GUI) through a napari plugin and the command-line interface (CLI) that allows users to perform reconstructions.

Flow Chart

Software Quick Start

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

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

For more help, see recOrder's documentation. To install recOrder on a microscope, see the microscope installation guide.

Dataset

Slides and a dataset shared during a workshop on QLIPP and recOrder can be found on Zenodo, and the napari plugin's sample contributions (File > Open Sample > recOrder-napari in napari).

DOI DOI

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-0.4.1.tar.gz (7.1 MB view details)

Uploaded Source

Built Distribution

recOrder_napari-0.4.1-py3-none-any.whl (7.1 MB view details)

Uploaded Python 3

File details

Details for the file recOrder-napari-0.4.1.tar.gz.

File metadata

  • Download URL: recOrder-napari-0.4.1.tar.gz
  • Upload date:
  • Size: 7.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for recOrder-napari-0.4.1.tar.gz
Algorithm Hash digest
SHA256 664b473d7ed5889391bc94949d29f5351e7144d02325affb641512eefd545227
MD5 22858c5383ff926647fcd39f97bf0c7e
BLAKE2b-256 cff8f8b2402240aaa5301ebad2038e53958c24eee1cc83237026cbd8e09abd3a

See more details on using hashes here.

File details

Details for the file recOrder_napari-0.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for recOrder_napari-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dd98db46f8f8b4b61b5ee5629d735d7b4808d8a533a9ceb7becbe8cf75b356e3
MD5 f85c44b44223451ef2184c9c2b854be1
BLAKE2b-256 7ef653994ed58df8e2e699986bd3d17131d906272573766c15fece87c2e6c7c8

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