Robust High-throughput Mechanical Phenotyping Platform for Clinical Diagnostics

Information

  • Research Project
  • 8592948
  • ApplicationId
    8592948
  • Core Project Number
    R43TR000351
  • Full Project Number
    1R43TR000351-01A1
  • Serial Number
    000351
  • FOA Number
    PA-10-122
  • Sub Project Id
  • Project Start Date
    8/1/2013 - 13 years ago
  • Project End Date
    7/31/2015 - 11 years ago
  • Program Officer Name
    WILDE, DAVID B.
  • Budget Start Date
    8/1/2013 - 13 years ago
  • Budget End Date
    7/31/2014 - 12 years ago
  • Fiscal Year
    2013
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    7/26/2013 - 13 years ago
Organizations

Robust High-throughput Mechanical Phenotyping Platform for Clinical Diagnostics

DESCRIPTION (provided by applicant): There has been increased interest in using mechanical properties of cells as label-free biomarkers for applications in basic biology and clinical diagnostics. Increased single-cell deformability has been correlated with malignancy in cell lines and patient samples for example. In contrast to conventional molecular biomarkers a mechanical property is intrinsic to the cells of interest and does not require extensive sample preparation or costly labels. Still, clinical applications in this field have been limited to the research setting as previous tools have lacked the throughput to examine the heterogeneity of complex clinical samples effectively. The proposed work builds upon the deformability cytometry platform, which employs inertial microfluidic principles to create a fluid shearing extensional flo junction that can analyze mechanical properties of over 1000 cells per second. At the research platform stage, the deformability cytometry system has shown very promising clinical diagnostic utility in identifying malignant cells in pleural fluid with much higher sensitivity than the gold standard cytological analysis. Here we build off this initial success and address two major challenges to create a commercially viable high- throughput mechanical phenotyping platform. We aim to reduce costs associated with high-speed camera readout, and decrease computational resources required to achieve near-real-time-rapid-decision analysis, faster data turnaround time and downstream sorting capabilities. Specifically, the aims of this proposal are to explore the feasibility of lower cost single-point interrogation modalities and high-speed imaging alternatives while retaining similar diagnostic performance. Single-point interrogation methods include transit-time of a pre- deformed cell prior to mechanically applied stress compared to post-deformed cells. Alternatively, single-point measurements of scattered light during the deformation events, similar to side-scatter flow cytometry measurements will be correlated to deformed cell shape. Both these approaches are expected to reduce computational resources as output data is 1D. Three alternative high-speed imaging techniques will also be evaluated 1) Position sensitive detectors (PSDs) are one axis imaging sensors - by placing two PSDs orthogonally 2D spatial data can be collected during deformation events, 2) Commercially available OEM high- speed image sensors. are customizable where onboard FPGA integration can be used to prescreen data in order to reduce offline image analysis workload, 3) adapted lower frame rate camera (10,000 fps) coupled to 500ns strobe source. Any of the proposed alternative acquisition methods will reduce the cost of the instrument and lower analysis time to create a clinically relevant label-free mechanical biomarker-based diagnostic product.

IC Name
NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES
  • Activity
    R43
  • Administering IC
    TR
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    199999
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    350
  • Ed Inst. Type
  • Funding ICs
    NCATS:199999\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    CYTOVALE, INC.
  • Organization Department
  • Organization DUNS
    078418950
  • Organization City
    SOUTH SAN FRANCISCO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    940801935
  • Organization District
    UNITED STATES