DECODE

imported

software/decode

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

Machine-generated from the listed sources and not yet reviewed by a human.

DECODE project image — GitHub preview card for TuragaLab/DECODE. Served by its origin, not stored here, and not covered by this registry’s licence.

record

Category: Software & Systems
Subcategory: unknown
License: GPL-3.0(osi)
Status: dormant
Maturity: deployed
Organization: TuragaLab
Country: unknown
Homepage: unknown
Repository: github.com/TuragaLab/DECODE
Documentation: unknown
Tags: deep-learning · gpu · high-density · localization-microscopy · microscopy · pytorch · smlm
Regulatory: unknown

built by · 6

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similar by tags

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

REALMlocalization-microscopy · microscopy · smlm
Adaptive Optics plugin for MicroManager
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
smlmvismicroscopy · smlm
Superresolution visualization of 3D protein localization data from a range of microscopes
niftiaigpu · pytorch
Train neural nets on 3D images (e.g. MRIs) 🧠
DeconvOptim.jlgpu · microscopy
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

sources

api.github.com/repos/TuragaLab/DECODE
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-06-22, 123 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/15.json→ .entries["decode"]

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