NIH-funded research R21 grant

A new method for isolating and tracking cells using advanced imaging technology

Official title: An Affordable and Versatile Two-Dimensional Cell Isolation and Tracking Platform Based on Image Machine Learning and Maskless Photolithography Single Cell Encapsulation

Funded at Lehigh University · NIH-10684026 · Data updated 2026-11-12

This study is working on a new, friendly tool that helps scientists sort and track different types of cells, including delicate ones like stem cells, using smart technology, so smaller labs can do their work more easily and accurately.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionLehigh University
NIH-funded
Lab location1 site (Bethlehem, United States)
Project startSeptember 1, 2022
Project endJune 30, 2025
Funding year2023
Award (this year)$237,163
NIH project number5R21EB033102-02
Project IDNIH-10684026 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are individuals requiring stem cell therapies or those with conditions that could benefit from precise cell isolation and tracking.

Less likely to help

Patients who do not require cell-based therapies or those whose conditions do not involve cell isolation may not benefit from this research.

What this research studies

This research focuses on developing an innovative platform for isolating and tracking cells using machine learning and advanced photolithography techniques. It aims to create a more efficient and affordable cell sorting system that can handle various cell types, including sensitive cells like stem cells. By utilizing real-time imaging and acoustic fields, the platform seeks to improve the accuracy and speed of cell sorting while minimizing damage to fragile cells. This could significantly enhance the capabilities of small laboratories that require effective cell sorting solutions.

Why it matters

Potential benefit: If successful, this research could provide patients with improved access to advanced cell therapies and treatments by enabling better isolation of critical cell types.

How similar studies have gone: Other research has shown promise in using machine learning and innovative sorting techniques for cell isolation, indicating that this approach could lead to significant advancements.

Where this research is happening

  • Lehigh University
    Bethlehem, United States
    Active

Researchers

  • Principal investigator: Berdichevsky, Yevgeny — Lehigh University
  • Study coordinator: Berdichevsky, Yevgeny

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.