Massively Parallel Rogue Cell Detection Using Serial Time-Encoded Amplified Microscopy of Inertially Ordered Cells in High-Throughput Flow
Abstract
We aim to develop an instrument for high-throughput identification of rare circulating breast cancer cells to enable early detection and analysis of treatment effectiveness. To address this challenge, we have developed an automated flow-through single-cell optical microscopy system that can evaluate, diagnose, and screen a large population of cells in a short time. This method builds on an unique integration of (i) an ultrafast optical imaging modality known as serial time-encoded amplified microscopy (STEAM) [1] for blur-free imaging of cells in high-speed flow, (ii) inertial microfluidic technology for sheath-free focusing and ordering of cells with inertial forces [2-4], and (iii) hybrid optoelectronic image processing circuitry for real-time image processing. The integrated system transforms microfluidic flow into a series of E-slides an electronic version of glass slides on which cells of interest are digitally analyzed. This property enables fully automated real-time image-recording and classification of a large number of cells through their morphological and biochemical features. As our first proof-of-principle demonstration, we have shown non-stop real-time image-based identification and screening of rare MCF7 breast cancer cells in blood with an unprecedented throughput of 100,000 cells/s and false positive rate of 1 in a million.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2011
- Accession Number
- ADA553950
Entities
People
- Dino Di Carlo
Organizations
- University of California, Los Angeles