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OrganoidVision

Bio-Hybrid Retinal Organoids as Living Event-Based Imaging Sensors

Website: ideas.onlyideas.art
GitHub: github.com/lachlanchen/OrganoidVision
Companion: OrganoidIntelligence

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Vision

OrganoidVision explores a focused question: can retinal organoids become living, adaptive imaging sensors when connected to microfluidics, bioelectronic interfaces, and event-based decoding?

The project treats retinal organoids as a biological front-end for visual sensing. Instead of forcing dense camera frames through silicon-only pipelines, OrganoidVision investigates sparse biological events, optical stimulation, MEA readout, organoid-on-chip culture, and neuromorphic decoding.

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OrganoidVision Manuscript
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Repository Map

Path	Purpose
paper/nature_submission/	Nature-style manuscript source and compiled PDF
paper/nature_submission/figures/	Generated publication figures and prompts
paper/nature_submission/previews/	Rendered first-page preview for GitHub README display
references/	Research notes, sensor-stack blueprints, and repository audits
tools/paper_writer/	Paper-generation, figure-generation, and compile workflow scripts
i18n/	Multilingual README pages

Publication

• OrganoidVision manuscript

Relationship to OrganoidIntelligence

OrganoidIntelligence is the broad roadmap for organoid brain-on-chip intelligence, wetware computing, MEA interfaces, and closed-loop stimulation.

OrganoidVision is the application branch: retinal organoids, optical input, living sensors, and event-based biohybrid vision.

How to Cite

If you use this repository, cite:

@misc{chen2026organoidvision,
  title        = {OrganoidVision: Bio-Hybrid Retinal Organoids as Living Event-Based Imaging Sensors},
  author       = {Chen, Lachlan and AgInTiFlow},
  year         = {2026},
  institution  = {AgInTi Lab, LazyingArt LLC},
  howpublished = {\url{https://github.com/lachlanchen/OrganoidVision}},
  note         = {Research manuscript and repository}
}

For the companion roadmap:

@misc{chen2026organoidintelligence,
  title        = {Organoid Brain-on-a-Chip Systems: Resource Map, Bioelectronic Interface Strategy and First-Demo Roadmap},
  author       = {Chen, Lachlan and AgInTiFlow},
  year         = {2026},
  institution  = {AgInTi Lab, LazyingArt LLC},
  howpublished = {\url{https://github.com/lachlanchen/OrganoidIntelligence}},
  note         = {Research roadmap and repository}
}

Topics

OrganoidVision · retinal-organoids · biohybrid-vision · organoid-sensors · event-based-vision · bioelectronics · microfluidics · organoid-on-chip · neurotechnology · AgInTiFlow

Authors

Lachlan Chen and AgInTiFlow
AgInTi Lab, LazyingArt LLC