ConductScreen

Automated Morphological Phenotyping of Developmental Neurotoxicity in Human Neural Organoids

A combinatorial in vitro/in silico NAM for quantifying how prenatal substance exposure alters neurodevelopmental morphology. No animals required.

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1,407

Images Analyzed

Organoids Tracked

Cell Lines Compared

4/9

Composite Tests Significant

Quick Verification Guide

All claims in our submission are independently verifiable on this platform

Verify 4/9 composite significant results

Disease model discrimination with effect sizes

See ethanol validation data

External dataset chemical sensitivity

Multi-modal integration

Combinatorial scoring with Pass/Flag/Fail

Reproducibility evidence

Forest plots, jackknife, ICC analysis

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1,407 images × 16 features export

Four Analysis Modules

A multi-modal combinatorial NAM from single-image morphology to electrophysiology and longitudinal dynamics.

Morphology Module

Operational

2D Morphology from Brightfield Microscopy

16 features, 1,407 images analyzed

Automated segmentation and feature extraction from standard brightfield images. No fluorescent labels required.

16 features + 3 QC metrics per image
9 morphology, 3 intensity, 4 texture features
Deterministic pipeline at 130 ms/image
4/9 PCA composites, 23/27 shape features significant

Temporal Module

Prototype

Time-Series Growth Dynamics

Growth trajectories across 10 timepoints

Longitudinal tracking of organoid growth, shape evolution, and phenotypic divergence over culture days.

Growth curves with exponential/logistic fits
Doubling time estimation
Trajectory clustering
Dose-response morphological curves

Boundary Module

Proof-of-concept

3D Confocal Neurite Topology

Edge density and roughness metrics

Skeletonization and graph-based analysis of neurite morphology from 3D confocal stacks.

Skeleton total length and branch length
Branch point and terminal tip counts
Topological complexity (Betti numbers)
Sholl analysis intersection profile

Electrophysiology Module

Phase 3

MEA/Calcium Electrophysiology

Architecture specified

Multi-electrode array and calcium imaging analysis to correlate morphological phenotypes with functional network activity changes from substance exposure.

Burst rate and spike frequency
Network synchrony metrics
Connectivity mapping
Functional-morphological correlation

Key Finding

Our automated pipeline detects statistically significant morphological differences between wildtype and disease-model organoids: 4 of 9 PCA composite tests significant (BH-FDR q < 0.05), with 23 of 27 shape features confirmed at global FDR (per-organoid aggregated, N=16 per group). Effect sizes |r| = 0.52–1.0.

Critically, the features that distinguish disease from wildtype — area, boundary integrity, tissue texture, and intensity heterogeneity — are the same endpoints reported as affected by prenatal substance exposure across 20+ published studies spanning 9 substance classes. This establishes both analytical validity and biological plausibility for the target context of use.

Beyond Software: A Complete Testing System

ConductScreen is the intelligence layer of a complete, integrated developmental neurotoxicity testing system.

Culture Chip

Hardware

Standard Protocol

Media kit

Any Microscope

Brightfield

ConductScreen

Analysis

Phase 3 delivers the full system. No organoid expertise needed.

Learn more about Culture Chip

Existing Manufacturing

Culture Chip builds on ConductScience's existing microfluidic product line — cell culture and observation chips already available for labs worldwide.

Regulatory Readiness

ConductScreen is designed to complement OECD Test Guideline 426 within an Integrated Approaches to Testing and Assessment (IATA) framework. Explore our evidence:

NAM-vs-Animal Concordance

See how each ConductScreen feature maps to OECD TG 426 animal endpoints, with published evidence linking them.

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Context of Use Explorer

Interactive walkthrough of the regulatory pathway: what TG 426 requires, how we address it, and our validation roadmap.

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Built on Real, Published Data

All analysis is performed on data from Zenodo 10301912 (Schröter et al., Scientific Data 2024) — 1,407 brightfield microscopy images from 64 organoids across 4 iPSC-derived cell lines (1 wildtype + 3 disease models).

No synthetic or simulated data. Every result shown on this site is derived from real experimental images.

NIH Complement-ARIE Reduction to Practice Challenge — Phase 1

A combinatorial in vitro/in silico NAM for automated morphological phenotyping of developmental neurotoxicity in human neural organoids

Last updated: February 2026