Massively Parallel Rogue Cell Detection Using Serial Time-Encoded Amplified Microscopy of Inertially Ordered Cells in High-Throughput Flow
Abstract
We developed a high-throughput imaging cytometry system for high accuracy identification of rare circulating breast cancer cells in blood. Key accomplishments include: 1. Construction of a serial time encoded amplified microscopic camera, Nomarski system, and laser scanner for blur flee imaging of breast cancer cells and blood cells in flow with and without microparticle labels to EpCAM on the cell surfaces. 2. Development of microfluidic devices compatible with the optical system in rigid optically transparent materials. 3. Development of a real-time field programmable gate array image analyzer for high-throughput image-based screening, and 4. Inline sample preparation microfluidic system for inline microparticle labeling of breast cancer cells without lossy centrifugation steps. The work has yielded high accuracy ~ 75% identification of spiked breast cancer cells from blood with a false positive rate of 1 MCF7 breast cancer cell in 1,000,000 white blood cells, a few orders of magnitude better accuracy than flow cytometry scatter and fluorescence measurements alone.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2012
- Accession Number
- ADA576668
Entities
People
- Bahram Jalali
- Dino Di Carlo
Organizations
- University of California, Los Angeles