Skip to main content

Automatic 3D detection and quantification of fluorescent objects

Project description

Written by Francesco Padovani (creator of Cell-ACDC ) with feedback from tons of people, see list of authors here Citation.

Build Status (Windows PyQt5) Build Status (Ubuntu PyQt5) Build Status (macOS PyQt5) Build Status (Windows PyQt6) Build Status (macOS PyQt6) Python Version PyPi Version Downloads per month License Repository Size DOI Documentation Status

A generalist framework for multi-dimensional automatic spot detection and quantification

If you need to analyse fluorescence microscopy data you are probably in the right place.

SpotMAX will help you with these two tasks:

  1. Detect and quantify globular-like structures (a.k.a. “spots”)

  2. Segment and quantify fluorescently labelled structures

SpotMAX excels in particularly challenging situations, such as low signal-to-noise ratio and high spot density.

It supports 2D, 3D, 4D, and 5D data, i.e., z-stacks, timelapse, and multiple fluorescence channels (and combinations thereof).

Installation

SpotMAX is published on PyPI, therefore it can simply be installed with:

pip install spotmax

Depending on how you plan to use it, you will need additional packages. See here for the installation guide

Resources

Citation

If you use SpotMAX in your work, please cite the following preprint:

Padovani, F., Čavka, I., Neves, A. R. R., López, C. P., Al-Refaie, N., Bolcato, L., Chatzitheodoridou, D., Chadha, Y., Su, X.A., Lengefeld, J., Cabianca D. S., Köhler, S., Schmoller, K. M. SpotMAX: a generalist framework for multi-dimensional automatic spot detection and quantification, bioRxiv (2024) DOI: [10.1101/2024.10.22.619610](https://doi.org/10.1101/2024.10.22.619610)

IMPORTANT! If you use Spotiflow or any of the models available at the BioImage.IO Model Zoo make sure to cite those too, here are the links:

Contact

Do not hesitate to contact us on the Image.sc Forum (make sure to tag the Topic with the tag spotmax), here on GitHub (by opening an issue), or directly at the email elpado6872@gmail.com for any problem and/or feedback on how to improve the user experience!

Contributing

At SpotMAX we encourage contributions to the code! Please read our Contributing Guide to get started.

License

SpotMAX is licensed under the GNU General Public License v3.0

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

spotmax-1.1.0.tar.gz (16.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spotmax-1.1.0-py3-none-any.whl (17.0 MB view details)

Uploaded Python 3

File details

Details for the file spotmax-1.1.0.tar.gz.

File metadata

  • Download URL: spotmax-1.1.0.tar.gz
  • Upload date:
  • Size: 16.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for spotmax-1.1.0.tar.gz
Algorithm Hash digest
SHA256 9b1344a8738a98da9affa97cd9fed0149e44e7a09ae74c8da8bb2aa5388b47e5
MD5 270a4da7e9464c8c1abcbe7e60b88cfd
BLAKE2b-256 03c8824039151a1ff0e654c52cedaffedd8b37c9b4c6c2cd767ae5ac5b109b62

See more details on using hashes here.

File details

Details for the file spotmax-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: spotmax-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 17.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for spotmax-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 019292aefe420e8b8d46c34aa1362a8b185ad71a773c32d2c47f39c7678aabbf
MD5 4201741a6326b0440097e029635dd037
BLAKE2b-256 dec60f3bbecd0f60263a185ee50b3a596eb2a948ff12fd875f05434b3a64dd94

See more details on using hashes here.

Supported by

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