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UltraFISH+ for Single-cell Spatial Cell Type Analysis

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R43GM140605-01
Agency Tracking Number: R43GM140605
Amount: $300,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 400
Solicitation Number: PA20-047
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-05-15
Award End Date (Contract End Date): 2022-05-14
Small Business Information
Fremont, CA 94555-2242
United States
DUNS: 080557562
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 (415) 988-1532
Business Contact
Phone: (415) 988-1532
Research Institution

SBIR AbstractSingle cell biology is a multi-disciplinary study to investigate how large number of single
cells interact with each other as a complex system. In the Cell Atlas Era, identifying cell types
with high spatial resolution and accuracy is essential to decipher tissue heterogeneity and
understand the biological systems profoundly, and ultimately promote the development of next
generation clinical diagnostics and personalized medicine. However, existing technologies for
spatial cell type analysis have various technical limitations and can’t quantify tissue
heterogeneity at single cell level accurately and efficiently. UltraFISH+ is aiming to overcome
the limitations of existing single cell analysis technologies and become the best tool for spatial
cell type analysis. With the successful development of UltraFISH+, tissue heterogeneity will be
quantified accurately, efficiently and cost-effectively.SBIR Project Narrative
Project Narrative:
UltraFISH+ is a technology that will enable researchers to profile spatial cell types from
thousands to millions of cells in an accurate, efficient and cost-effective way. In the Cell Atlas
Era, UltraFISH+ will become an essential tool for a very broad range of biologists and medical
doctors across academia, biotech industry and clinical labs. It will help answer fundamental
questions in all aspects of biology, as well as support the in-depth cell type mapping of primary
tissues to diagnose diseases fast and accurately.

* Information listed above is at the time of submission. *

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