Artificial Intelligence for
In Vitro Structural Toxicity Testing

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PhenoTox uses image-based AI to quantify subtle drug-induced structural changes in cell-based models. The inputs are a collection of cellular images captured at multiple doses for the drugs of interest and a control set of images with only the vehicle applied. The output is a metric of structural change for each drug dose relative to the control. PhenoTox introduces a new approach for structural toxicity testing that is unbiased and provides a high level of sensitivity that has not previously been possible.

 View our Press Release with CDER at the FDA

Applications & Features

PhenoTox can be used to study leading causes of drug attrition, including cardiotoxicity, hepatotoxicity, neurotoxicity, nephrotoxicity, and reproductive toxicity, among others. Beyond drug testing, PhenoTox can be applied to in vitro chemical toxicity testing, to study the effects of pesticides, industrial chemicals, household products, and food additives on different human cell types.

Any Imaging System

Use fluorescence or brightfield images captured on any microscopy imaging system.

Any Cell Type

Investigate any cell type, such as primary and iPSC-derived hepatocytes, neurons, and cardiomyocytes.

Any Cellular Structure

Fix and stain your cells to label any cellular structure of interest, such as actin, mitochondrida, nucleus, and more.


  • Poster presentation at Society of Toxicology (SOT) 2019 ( download )
  • Poster presentation at International Society for Stem Cell Research (ISSCR) 2019 ( download )
  • Poster presentation at Safety Pharmacology Society (SPS) 2019 ( coming soon )
  • Poster presentation at Society for Neuroscience (SFN) 2019 ( coming soon )

PhenoTox is for Research Use Only

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