NanoJ-Fluidics
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- HenriquesLab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/HenriquesLab/NanoJ-Fluidics
- Documentation
- unknown
- Tags
- automation · dna-paint · electronics · fluidics · high-content · lego · live-cell · microscopy
- Regulatory
- unknown
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.
- picassodna-paint · microscopy
A collection of tools for painting super-resolution images
- 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.
- OpenHandelectronics
Our attempt at a prosthetic hand using STM32 microcontroller with custom PCB and mechanics
- APPIANautomation
APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate…
Survival rates for sudden cardiac arrest drop significantly with every second of delay. To address this, we developed a synchronised prototype that integrates automated chest compressions with a…
- api.github.com/repos/HenriquesLab/NanoJ-Fluidicsretrieved 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 →
/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.