spotmaxlogo Welcome to SpotMAX!

Multi-dimensional microscopy data analysis

Written in Python 3 by Francesco Padovani

githublogo Source code on GitHub

Here you will find all you need to master our tool!

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 (e.g., mitochondria, nucelus, etc.)

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Graphical User Interface

Interactively set the analysis parameters

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Synaptonemal Complex in C. elegans

Accurately detect touching spots

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Detect spots and segment a reference channel

Segment and quantify the mitochondrial network in 3D

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Telomeres length quantification in stem cells (DNA-FISH)

Quantify telomeres length as a function of cell size

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Count single-molecule of mRNAs in smFISH data

Optimised for high spot density

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Inspect the results

Annotate detected spots and inspect features by hovering on the spot

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).

Timelpase microscopy of S. cerevisiae with detection of mitochondrial DNA and segmentation of mitochondrial network.

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