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- Title
Selective Detection and Automated Counting of Fluorescently-Labeled Chrysotile Asbestos Using a Dual-Mode High-Throughput Microscopy (DM-HTM) Method.
- Authors
Cho, Myoung-Ock; Hyo Mi Chang; Lee, Donghee; Yeon Gyu Yu; Hwataik Han; Jung Kyung Kim
- Abstract
Phase contrast microscopy (PCM) is a widely used analytical method for airborne asbestos, but it is unable to distinguish asbestos from non-asbestos fibers and requires time-consuming and laborious manual counting of fibers. Previously, we developed a high-throughput microscopy (HTM) method that could greatly reduce human intervention and analysis time through automated image acquisition and counting of fibers. In this study, we designed a dual-mode HTM (DM-HTM) device for the combined reflection and fluorescence imaging of asbestos, and automated a series of built-in image processing commands of ImageJ software to test its capabilities. We used DksA, a chrysotile-adhesive protein, for selective detection of chrysotile fibers in the mixed dust-free suspension of crysotile and amosite prepared in the laboratory. We demonstrate that fluorescently-stained chrysotile and total fibers can be identified and enumerated automatically in a high-throughput manner by the DM-HTM system. Combined with more advanced software that can correctly identify overlapping and branching fibers and distinguish between fibers and elongated dust particles, the DM-HTM method should enable fully automated counting of airborne asbestos.
- Subjects
CHRYSOTILE; ASBESTOS; FLUORESCENCE; IMAGING systems; PHASE-contrast microscopy; FIBERS
- Publication
Sensors (14248220), 2013, Vol 13, Issue 5, p5686
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s130505686