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NanoJ-Fluidics

imported

software/nanoj-fluidics

Manual, source-code and binaries for the NanoJ-Fluidics project

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

NanoJ-Fluidics project image
GitHub preview card for HenriquesLab/NanoJ-Fluidics. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
HenriquesLab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
automation · dna-paint · electronics · fluidics · high-content · lego · live-cell · microscopy
Regulatory
unknown
built by · 5

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.

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.

  • picassodna-paint · microscopy

    A collection of tools for painting super-resolution images

  • scmorphhigh-content

    Single-cell morphological analysis

  • opm-v2fluidics · microscopy

    GUI and code for controlling an oblique plane microscope with projection imaging, sensorless adaptive optics, and integrated microfluidics.

  • rio-controllerelectronics · microscopy

    "Rio" a free and open source microfluidics controller - controls fast imaging, pressure, flow, temperature and analysis.

  • OADautomation · microscopy

    Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.

  • SoftCountautomation · microscopy

    Hybrid automated/manual colony counting for soft agar colony formation assays. Browser-based tool with live threshold tuning, manual annotation, and CSV export. Runs locally for data privacy.

sources
  1. api.github.com/repos/HenriquesLab/NanoJ-Fluidics
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2022-11-07, 53 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/35.json→ .entries["nanoj-fluidics"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.