Version:

  • 0.1.0

Release date:

  • 07 May 2022

First released:

  • 19 April 2022

License:

  • Chan Zuckerberg Biohub Software License

Supported data:

  • Information not submitted

GitHub activity:

  • Stars: 3
  • Forks: 0
  • Issues + PRs: 25

GitHub activity:

  • Stars: 3
  • Forks: 0
  • Issues + PRs: 25

Python versions supported:

  • >=3.7

Operating system:

  • MacOS
  • Microsoft :: Windows
  • POSIX
  • Unix

Requirements:

  • numpy (>=1.17.4)
  • scipy (>=1.3.0)
  • matplotlib (>=3.4.3)
  • zarr (>=2.6.1)
  • click (>=8.0.1)
  • pyyaml (>=5.4.1)
  • PyWavelets (>=1.1.1)
  • waveorder (>=1.0.0b0)
  • pycromanager (>=0.17)
  • tqdm (>=4.61.1)
  • opencv-python (>=4.5.3.56)
  • natsort (>=7.1.1)
  • colorspacious (>=1.1.2)
  • pyqtgraph (>=0.12.3)
  • superqt (>=0.2.4)
  • napari-ome-zarr (>=0.3.2)
  • qtpy

recOrder-napari

Computational microscopy toolkit for label-free imaging


    Authors:

    • Computational Microscopy Platform, CZ Biohub

    Source code:

    Authors:

    • Computational Microscopy Platform, CZ Biohub

    Source code:

    License PyPI - Python Version Downloads Python package index Development Status

    This package offers a comprehensive pipeline, command line interface, and napari plugin for quantitative label-free microscopy.

    In this repo you will find python tools and UI that allow the user to calibrate microscope hardware, acquire multi-modal data, reconstruct density and anisotropy, and visualize the data.

    The 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).

    recOrder is to be used alongside the QLIPP module, whose design has been optimized to fit on a conventional widefield microscope (Panel A below). The QLIPP module allows for the collection of label-free information consisting of the intrinsic anisotropy of the sample and its relative phase (density). All of these measurements are collected through compensated, polarization diverse illumination and quantitatively recovered through recOrder's computational reconstruction pipeline. The overall structure of recOrder can be visualized below in Panel B, highlighting the two different usage modes and their features: graphical user interface (GUI) through napari and command line interfact (CLI).

    Flow Chart

    Dataset

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

    DOI DOI

    Installation

    Easy installation:

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

    conda create -n recorder python
    conda activate recorder

    Install napari:

    pip install "napari[all]"

    Open napari and use the Plugin > Install/Uninstall Plugins... menu to install recOrder-napari.

    Developer installation:

    Install git and conda (either anaconda or miniconda).

    Create a conda environment dedicated to recOrder:

    conda create -n recorder python
    conda activate recorder

    Clone this repository:

    git clone https://github.com/mehta-lab/recOrder.git

    Install recOrder and its dependencies:

    cd recOrder
    pip install -e ".[dev]"

    Optional napari plugin: recOrder includes a napari plugin that can be used to acquire data via MicroManager. To install napari use

    pip install "napari[all]"

    To run the recOrder plugin use

    napari -w recOrder-napari

    To acquire data via MicroManager, follow the instructions on the wiki.

    Optional GPU: recOrder supports NVIDIA GPU computation with the cupy package. Follow these instructions to install cupy and check its installation with import cupy. To enable gpu processing, set use_gpu: True in the config files.

    Command-line usage

    Type recOrder.help for instructions on the two command-line modes: recOrder.reconstruct and recOrder.convert.

    recOrder.reconstruct

    recOrder.reconstruct uses configuration files to select reconstruction parameters. Start with an example configuration file /examples/example_configs/config_example_qlipp.yml and modify the parameters to match your dataset.

    Run the reconstruction with

    recOrder.reconstruct --config <path/to/config.yml>

    The following command-line arguments override parameters specified in the configuration file:

    --method (str) method of reconstruction: QLIPP,IPS,UPTI'
    --mode (str) mode of reconstruction: 2D, 3D'
    --data_dir (str) path to raw data folder'
    --save_dir (str) path to folder where reconstructed data will be saved'
    --name (str) name under which to save the reconstructed data'
    --config (str) path to configuration file (see /examples/example_configs')
    --overwrite (bool) True/False whether or not to overwrite data that exists under save_dir/name'

    For example, this command uses the QLIPP reconstruction method even if the configuration file specifies a different reconstruction method

    recOrder.reconstruct --config /path/to/config.yml --method QLIPP

    recOrder.convert

    recOrder.convert converts MicroManager tif files to ome-zarr files. For example

    recOrder.convert --input <path/to/mm/tifs> --output <path/to/output.zarr>  --data_type ometiff

    License

    Chan Zuckerberg Biohub Software License

    This software license is the 2-clause BSD license plus clause a third clause that prohibits redistribution and use for commercial purposes without further permission.

    Copyright © 2019. Chan Zuckerberg Biohub. All rights reserved.

    Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

    1. Redistributions of source code must retain the above copyright notice,

    this list of conditions and the following disclaimer.

    1. Redistributions in binary form must reproduce the above copyright notice,

    this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

    1. Redistributions and use for commercial purposes are not permitted without

    the Chan Zuckerberg Biohub's written permission. For purposes of this license, commercial purposes are the incorporation of the Chan Zuckerberg Biohub's software into anything for which you will charge fees or other compensation or use of the software to perform a commercial service for a third party. Contact ip@czbiohub.org for commercial licensing opportunities.

    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

    Version:

    • 0.1.0

    Release date:

    • 07 May 2022

    First released:

    • 19 April 2022

    License:

    • Chan Zuckerberg Biohub Software License

    Supported data:

    • Information not submitted

    GitHub activity:

    • Stars: 3
    • Forks: 0
    • Issues + PRs: 25

    Python versions supported:

    • >=3.7

    Operating system:

    • MacOS
    • Microsoft :: Windows
    • POSIX
    • Unix

    Requirements:

    • numpy (>=1.17.4)
    • scipy (>=1.3.0)
    • matplotlib (>=3.4.3)
    • zarr (>=2.6.1)
    • click (>=8.0.1)
    • pyyaml (>=5.4.1)
    • PyWavelets (>=1.1.1)
    • waveorder (>=1.0.0b0)
    • pycromanager (>=0.17)
    • tqdm (>=4.61.1)
    • opencv-python (>=4.5.3.56)
    • natsort (>=7.1.1)
    • colorspacious (>=1.1.2)
    • pyqtgraph (>=0.12.3)
    • superqt (>=0.2.4)
    • napari-ome-zarr (>=0.3.2)
    • qtpy

    Version:

    • 0.1.0

    Release date:

    • 07 May 2022

    First released:

    • 19 April 2022

    License:

    • Chan Zuckerberg Biohub Software License

    Supported data:

    • Information not submitted

    GitHub activity:

    • Stars: 3
    • Forks: 0
    • Issues + PRs: 25

    GitHub activity:

    • Stars: 3
    • Forks: 0
    • Issues + PRs: 25

    Python versions supported:

    • >=3.7

    Operating system:

    • MacOS
    • Microsoft :: Windows
    • POSIX
    • Unix

    Requirements:

    • numpy (>=1.17.4)
    • scipy (>=1.3.0)
    • matplotlib (>=3.4.3)
    • zarr (>=2.6.1)
    • click (>=8.0.1)
    • pyyaml (>=5.4.1)
    • PyWavelets (>=1.1.1)
    • waveorder (>=1.0.0b0)
    • pycromanager (>=0.17)
    • tqdm (>=4.61.1)
    • opencv-python (>=4.5.3.56)
    • natsort (>=7.1.1)
    • colorspacious (>=1.1.2)
    • pyqtgraph (>=0.12.3)
    • superqt (>=0.2.4)
    • napari-ome-zarr (>=0.3.2)
    • qtpy

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