organoids

Robotic Generation and Kinetic Screening of Patient-Derived Glioblastoma Organoids Reveal Pharmaceutical Dynamics

Brightfield colony and organoid morphology QC. Synthetic bake-off, retrainable logistic baseline. A contamination flag is triage, not a diagnosis.

Nuclear segmentation and quantification of organoid slices

问象 BioAI 日知：AI 生物制药行业动态、合作图谱、精选研究与公司黄页；RSS + 只读 MCP

Reproducible computational evidence mapping of organoid transplantation research and translational readiness.

Involvement of Extracellular Vesicle-derived miRNA clusters in Developing Healthy and Rett Syndrome Brain Organoids

Digtal Organoid On Chips

Lectures slides for BSc and MSc students

Source-traceable organoid mask measurement: object-level morphology, grouped instance agreement, frozen splits and hash-bound receipts. Geometry is not organoid health.

Open syringe-pump math, firmware, and a plunger carriage for in-vitro perfusion. The fluid path stays in the sterile syringe.

Organoid Analyzing Tools (OAT) is a package that allow you to analyze organoids dynamics.

Patient-derived organoids as predictive models for drug testing and repurposing in glioblastoma therapy

Conservative spherical oxygen transport for organoid research, with analytic and nonlinear numerical verification.

Organoid fidelity QC - scRNA-seq organoid vs tissue-reference scoring (marker detection, coverage, aberrant-cluster detection) + Opentrons Flex dosing protocol simulation

HPC-Organoid-Quant is a modular image analysis pipeline for quantifying organoids in brightfield microscopy images, with optional GFP analysis. It handles fragmented structures, extracts key features, and outputs visual overlays and CSV reports. Runs in Google Colab or locally via Conda or Python venv.

Bioimage analysis for microscopy images and 3D stacks using Java computer vision and Python deep-learning segmentation.

Automated Organoid Sorting Pipeline, created during EMBO Hackathon Hack your Microscope 2026 in Oeiras, Portugal

Step-by-step protocols for new Zosen Lab members (University of Oslo), written from published methods. Drafts, CC BY 4.0.

Analyse 3D Live/Dead images by an approximation to 2D