REALM

Category

Software & Systems

Subcategory

unknown

License

GPL-2.0(osi)

Status

dormant

Maturity

deployed

Organization

unknown

Country

unknown

Homepage

unknown

Repository

github.com/MSiemons/REALM

Documentation

unknown

Tags

aberration-correction · adaptive-optics · deformable-mirror · gui · localization-microscopy · microscopy · smlm

Regulatory

unknown

• MSiemons

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

• DECODElocalization-microscopy · microscopy · smlm

  This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)

• Investigation of the synaptic ultrastructure with multicolor STORMsmlm · localization-microscopy

  We are interested in the spatial distribution of proteins at the presynaptic terminal and how the molecular composition of the terminal regulates the synaptic vesicle cycle. Single-molecule…

• picassomicroscopy · smlm

  A collection of tools for painting super-resolution images

• Spectral STORM: Multi-colour super-resolution imaging with a single excitation lasersmlm

  Single-molecule localization microscopy allows us to observe cellular structures on the nanoscale. Due to the high frame numbers required to achieve good localization precision, multi-colour…

• alphamapgui

  An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.

• biopeaksgui

  A graphical user interface for feature extraction from heart- and breathing biosignals.

1. api.github.com/repos/MSiemons/REALM
   retrieved 2026-08-05 · via github-api

   Machine-imported from GitHub search. Last push 2022-05-23, 13 stars, license reported as GPL-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/16.json→ .entries["realm"]

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