Developing automated tools to label and analyze individual cells in biological samples

Image Tools for Computational Cellular Barcoding and Automated Annotation

['FUNDING_R01'] · J. DAVID GLADSTONE INSTITUTES · NIH-11003292

This study is working on a new way to quickly and easily identify and categorize individual cells in biological samples, which will help scientists understand how cells respond to different situations, making the research process faster and more affordable.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorJ. DAVID GLADSTONE INSTITUTES (nih funded)
Locations1 site (SAN FRANCISCO, UNITED STATES)
Trial IDNIH-11003292 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing the analysis of biological samples by automating the annotation of individual cells using advanced imaging techniques. By employing methods such as chemical annotation, annotation amplification, and cellular barcoding, the project aims to streamline the process of identifying and categorizing cells based on their behavior and characteristics. This automation will significantly reduce the time and cost associated with manual annotation, allowing for more efficient data analysis and insights into cellular responses to various stimuli.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals with conditions that involve complex cellular behaviors, such as cancer or neurodegenerative diseases.

Not a fit: Patients with stable, non-complex conditions that do not require detailed cellular analysis may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to faster and more accurate analysis of cellular behavior, improving our understanding of biological processes and disease mechanisms.

How similar studies have performed: Other research has shown success in automating cell analysis using imaging techniques, indicating that this approach has potential for significant advancements.

Where this research is happening

SAN FRANCISCO, UNITED STATES

Researchers

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 below.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.