---
title: iPSC-Derived Hepatocyte Sorting
description: Discover how VisionSort identifies can be used to profile and separate distinct populations of iPSC-derived hepatocyte differentiation stage cells.
---

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Morphology-based classification  
and isolation of differentiated  
human iPSCs

![AN26_Preview](https://info.thinkcyte.com/hubfs/AN26_Preview.jpg "AN26_Preview")

Introduction:

Induced pluripotent stem cells (iPSCs) are commonly used research tools for disease modeling, drug discovery, and regenerative medicine. Methods to identify iPSC cells at different stages of differentiation would advance regenerative medicine research by providing an accurate and non-destructive means to isolate target cells. Here, we demonstrate that VisionSort can identify and isolate cells at different stages of in vitro hepatocyte differentiation from iPSCs without relying on molecular markers.

Summary:

1. Morphology-driven characterization of differentiation state specific iPSC-derived cells is possible. 
2. VisionSort can identify and sort differentiated iPSC cells that are difficult to isolate using marker-based approaches.

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