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

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 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-1.0.5.tar.gz (12.8 MB view details)

Uploaded Source

Built Distribution

spotmax-1.0.5-py3-none-any.whl (12.9 MB view details)

Uploaded Python 3

File details

Details for the file spotmax-1.0.5.tar.gz.

File metadata

  • Download URL: spotmax-1.0.5.tar.gz
  • Upload date:
  • Size: 12.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for spotmax-1.0.5.tar.gz
Algorithm Hash digest
SHA256 315a90edc13c66d46e58771fa38c2b90945ab03e19ea5d3a9484abad1596a460
MD5 798f476c5881baf4b825868c0205c3f0
BLAKE2b-256 e05d195db8f79f7333449627461fbba553269e53368fcf23da5eefe0eb568f37

See more details on using hashes here.

File details

Details for the file spotmax-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: spotmax-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 12.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for spotmax-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f8e5f058761c4d689a93cdf1f2e54049956cfad5b55e2805c6b0b287ebfb09d2
MD5 6b36fda5a8cfa17820338416e44172ca
BLAKE2b-256 ffbf94b94f3c95cabea08a0acc5bd93698f0075be0659ea9563984acf4554695

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