Lab-on-a-chip Flow Cytometer Using COlor-Space-Time (COST) Coding Method

Information

  • Research Project
  • 8455193
  • ApplicationId
    8455193
  • Core Project Number
    R43GM103470
  • Full Project Number
    3R43GM103470-02S1
  • Serial Number
    103470
  • FOA Number
    PA-08-114
  • Sub Project Id
  • Project Start Date
    7/1/2011 - 13 years ago
  • Project End Date
    6/30/2013 - 11 years ago
  • Program Officer Name
    FRIEDMAN, FRED K.
  • Budget Start Date
    7/1/2012 - 12 years ago
  • Budget End Date
    6/30/2013 - 11 years ago
  • Fiscal Year
    2012
  • Support Year
    02
  • Suffix
    S1
  • Award Notice Date
    6/18/2012 - 12 years ago

Lab-on-a-chip Flow Cytometer Using COlor-Space-Time (COST) Coding Method

DESCRIPTION (provided by applicant): Lab-on-a-chip flow cytometer using color-space-time (CoST) coding method NanoSort, LLC RESEARCH & RELATED Other Project Information 7. PROJECT SUMMARY Fluorescence-activated-cell-sorting (FACS) or flow cytometry enables clinicians and researchers to quantitatively characterize the physical (cell size, shape, granularity) and biochemical (DNA content, cell cycle distribution, cell surface markers, and viability) properties of cels. Besides its applications in basic research (e.g. immunology, cell and molecular biology), the instrument has allowed clinicians to detect and monitor the progression of diseases such as acute myeloid leukemia (AML) and HIV/AIDS. With the capability of high- throughput sorting to enrich biospecimens and extract rare cell types, a state-of-the-art flow cytometer makes it possible to conduct rare-event studies such as the identification or isolation of bacterial cells, stem cells, or tumor cells. However, today's flow cytometers face two chalenges that limit the ability to drastically reduce their cost and extend their day-to-day utilization to clinical settings. The first limit is that the system's architecture is highly inefficient in utilizing the increasing number of available fluorescent colors. In today's flow cytometer design, each fluorescent color requires a dedicated PMT and optics; and the cost, complexity, and risk of failure grow with the number of detection parameters. Secondly, there exists a huge price gap (2-3X price difference) between flow cytometers (that count cells) and FACS (that count and assort cells). FACS are mostly located in shared core facilities and operated by well-trained, PhD level specialists. There is a large demand for FACS that would increase if cell sorting were to become more accessible and affordable than it is now. Based on nearly 10 years of research of Professor Lo's group at UCSD, we will develop the lab-on-a-chip technology into products that can address the above two challenges. To facilitate the transformation, we will apply our patented game-changing technologies: 1) COlor-Space-Time (COST) coding method to detect multiple parameters using a single PMT. The COST technique fundamentaly changes the relationship between the system performance and the system complexity in all existing flow cytometers. We also propose a highly efficient and cost effective on-chip piezoelectric cell sorting technique with low shearing and high cell viability. Our proposed research includes the systematic study of post-sorting cell viability for lab-on-a-chip FACS system, a limiting problem for successful commercialization that is overloked by most research laboratories. The proposed Phase I research uses innovative approaches to transform a laboratory technology into commercial products that have a market of over $1B and the potential for an expanded market following the proposed cost reductions and functionality improvements. These technology and business goals will have a direct impact on basic research and clinical applications to enhance the health and wellbeing of the entire population.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    3
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    57056
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:57056\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    NANOCELLECT BIOMEDICAL, INC.
  • Organization Department
  • Organization DUNS
    832751098
  • Organization City
    SAN DIEGO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    921221937
  • Organization District
    UNITED STATES