Abstract
High-throughput assays necessitate high-throughput data analysis. Arrayed microfluidic immunoassay shows the capability of high-throughput protein detection. However, its development was restricted by the low efficiency of downstream data analysis. We present herein programming-based image processing through the local recognition of a sub-array followed by the region-growing algorithm to achieve fast, convenient and precise extraction of information with reduced personal bias.
Original language | English (US) |
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Pages (from-to) | 3466-3470 |
Number of pages | 5 |
Journal | Analytical Methods |
Volume | 4 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2012 |
Externally published | Yes |
ASJC Scopus subject areas
- Analytical Chemistry
- Chemical Engineering(all)
- Engineering(all)