SpotMAX

SpotMAX Logo
Type
Component
Author
Francesco Padovani orcid.org/0000-0003-2540-8240
Requires
Python
Cell-ACDC
Execution Platform
Linux
Mac
Windows
Implementation Type
plugin
Programming Language
Python
is compatible with
Cell-ACDC
Supported image dimension
2D
3D
multi-channel
Interaction Level
Semi-automated
License/Openness
Free and open source
License
GPL-3.0
Description

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

SpotMAX is designed to accomplish two tasks:

  1. Detecting and quantifying globular-like structures (a.k.a. "spots")
  2. Segmenting and quantifying fluorescently labelled structures

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

has function
Spot detection
has topic
Bioimage informatics
has biological terms
spots
Entry Curator
pmcarlton
Post date
10/27/2025 - 09:20
Last modified
10/28/2025 - 01:53
Download Page
https://github.com/SchmollerLab/SpotMAX
Documentation Link
Documentation (readthedocs.io)
attribution instructions
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:
Spotiflow
BioImage.IO Model Zoo
Reference Publication Link
SpotMAX: a generalist framework for multi-dimensional automatic spot detection …
Usage Example Link
https://github.com/SchmollerLab/SpotMAX/tree/main/examples
Backlinks