Skip to main content

Flow Cytometry Calibration Library

Project description

===========

FlowCal

===========

FlowCal is a library for processing and analyzing flow cytometry data in Python.

It features:

  • Extraction of Flow Cytometry Standard (FCS) files into numpy array-like structures

  • Traditional and non-standard gating, including automatic density-based two-dimensional gating.

  • Traditional transformation functions, such as exponentiation.

  • Analysis of calibration beads data, standard curve generation, and transformation to absolute units (Molecules of Equivalent Fluorophore, MEF).

  • Plotting, including generation of histograms, density plots and scatter plots.

  • A user-fiendly Excel UI to gate, transform, plot, and generate statistics from a list of flow cytometry samples in a simple fashion.

Documentation

=============

The official documentation can be found in https://flowcal.readthedocs.io. Here you will find installation instructions, tutorials, and more.

Report Bugs

===========

The official way to report a bug is through the issue tracker on github (https://github.com/taborlab/FlowCal/issues). Try to be as explicit as possible when describing your issue. Ideally, a set of instructions to reproduce the error should be provided, together with the version of all the relevant packages you are using.

Request Features

================

Features can also be requested through the issue tracker on github. Try to be as descriptive as possible about the desired feature.

Project details


Download files

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

Source Distribution

flowcal-1.3.1.tar.gz (83.9 kB view details)

Uploaded Source

File details

Details for the file flowcal-1.3.1.tar.gz.

File metadata

  • Download URL: flowcal-1.3.1.tar.gz
  • Upload date:
  • Size: 83.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for flowcal-1.3.1.tar.gz
Algorithm Hash digest
SHA256 b37deb77d363d48615832c984edba9fd6551a6a10d88ca958da881c47d25707e
MD5 e8590fdd77a8241a7b4fe20234f3364f
BLAKE2b-256 df43f183e753a17f71fac38301cb4ffa29703b61526287658f2c8b5436e72ee8

See more details on using hashes here.

Supported by

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