3D Imaging Flow Cytometer

Information

  • Research Project
  • 9466521
  • ApplicationId
    9466521
  • Core Project Number
    R43DA045460
  • Full Project Number
    1R43DA045460-01
  • Serial Number
    045460
  • FOA Number
    PA-16-302
  • Sub Project Id
  • Project Start Date
    3/1/2018 - 6 years ago
  • Project End Date
    2/28/2019 - 5 years ago
  • Program Officer Name
    BOUGH, KRISTOPHER J
  • Budget Start Date
    3/1/2018 - 6 years ago
  • Budget End Date
    2/28/2019 - 5 years ago
  • Fiscal Year
    2018
  • Support Year
    01
  • Suffix
  • Award Notice Date
    2/20/2018 - 6 years ago

3D Imaging Flow Cytometer

3D Imaging Flow Cytometer NanoCellect Biomedical, Inc. 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 cells, however FACS devices do not produce an image of the cell. Increasing sophistication of research assays now rely on the collection of cells based on their phenotypical and spatial characteristics; with the capabilities offered only by microscopic imaging cytometers having severe limits in throughput and lacking cell isolation. We propose an innovative, low cost design to combine the merits of FACS and microscopic 3D imaging cytometry without the limits of each, offering the biomedical research and clinical community a unique tool to address the needs for current and emerging applications. The key innovation is based on a significant extension of the spatial-coding algorithms our team demonstrated in the past years. In the proposed design, we create a special filter with a matrix of periodic slits in front of each PMT detector. The resulting PMT signal is composed of the multiplexed cell signals modulated by the filter, which can subsequently be deconvolved to produce fluorescence and scatter generated from different areas of the cell: the image. In addition, we add sweeping structured light with known positions over time to deconvolved information in the Z-axis, as well, allowing 3D image formation. In this Phase I program, we will integrate 3D imaging technology into our existing WOLF Cell Sorter to produce the very first 3D imaging cytometer with cell sorting capabilities. Since we use conventional, non-pixelated detectors (e.g. high-speed PMTs) found in conventional flow cytometers, this technology is compatible with existing flow cytometer architectures allowing for wide use. Equipped with cell imaging capabilities, researchers can track many important biological processes by analyzing not only the intensity but the localization of certain proteins within cytosolic, nuclear, or cell membrane domains and subdomains. With the rapidly developing capabilities of handling ?big data?, 3D images of millions of single cells in a flow cytometer provide vast resources for research and disease analysis, and rapid growth has been predicted in the market of such high-content imaging cytometer cell sorters for emerging applications such as precision medicine. We believe the proposed design is a major breakthrough that can potentially revolutionize the field of flow cytometry, and its impact and ramifications on both fundamental biomedical research and clinical applications can be tremendous.

IC Name
NATIONAL INSTITUTE ON DRUG ABUSE
  • Activity
    R43
  • Administering IC
    DA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    224935
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    279
  • Ed Inst. Type
  • Funding ICs
    NIDA:224935\
  • 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