Massively Parallel Rogue Cell Detection using Serial Time-Encoded Amplified Microscopy of Inertially Ordered Cells in High Throughput Flow

Abstract

The aim of this project is to develop an instrument for high-throughput identification of rare circulating breast cancer cells to enable early detection and analysis of treatment effectiveness. While optical microscopy is useful for detailed examination of a small number of microscopic entities and hence identification of such cells, methods for conventional microscopy are incapable of statistically relevant evaluation and screening of large populations with high accuracy due to its low throughput and limited storage. We succeeded in demonstrating an automated flow-through single-particle optical microscope that overcomes this limitation by performing sensitive blur-free image acquisition and non-stop real-time image recording and classification of microparticles during high-speed flow. This is made possible by integrating ultrafast optical imaging technology, self-focusing microfluidic technology, optoelectronic communication technology, and information technology. To show the system s utility, we demonstrated high-throughput image-based screening of budding yeast and rare breast cancer cells in spiked blood with an unprecedented throughput of 100,000 particles/s and a record false positive rate of one in a million.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA592094

Entities

People

  • Bahram Jalali

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acousto-Optic Deflectors
  • Acquisition
  • Blood Cells
  • Breast Cancer
  • Cells
  • Detection
  • Diffraction
  • Fabrication
  • Health Services
  • Identification
  • Image Processing
  • Lasers
  • Leukocytes
  • Optics
  • Repetition Rate
  • Two Dimensional
  • Waveplates

Fields of Study

  • Physics

Readers

  • Molecular Genetics
  • Oncology and Biomarker-Based Cancer Detection.
  • Optical Physics and Photonics.

Technology Areas

  • Microelectronics