Sensors 2013, 13(5), 5686-5699; doi:10.3390/s130505686
Article

Selective Detection and Automated Counting of Fluorescently-Labeled Chrysotile Asbestos Using a Dual-Mode High-Throughput Microscopy (DM-HTM) Method

1email, 2email, 1,†email, 2email, 3email and 3,4,* email
Received: 16 February 2013; in revised form: 22 April 2013 / Accepted: 24 April 2013 / Published: 2 May 2013
(This article belongs to the Section Biosensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: asbestos; chrysotile; DksA; high-throughput microscopy; dual-mode imaging; reflection; fluorescence; image processing and analysis; automated counting
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MDPI and ACS Style

Cho, M.-O.; Chang, H.M.; Lee, D.; Yu, Y.G.; Han, H.; Kim, J.K. Selective Detection and Automated Counting of Fluorescently-Labeled Chrysotile Asbestos Using a Dual-Mode High-Throughput Microscopy (DM-HTM) Method. Sensors 2013, 13, 5686-5699.

AMA Style

Cho M-O, Chang HM, Lee D, Yu YG, Han H, Kim JK. Selective Detection and Automated Counting of Fluorescently-Labeled Chrysotile Asbestos Using a Dual-Mode High-Throughput Microscopy (DM-HTM) Method. Sensors. 2013; 13(5):5686-5699.

Chicago/Turabian Style

Cho, Myoung-Ock; Chang, Hyo M.; Lee, Donghee; Yu, Yeon G.; Han, Hwataik; Kim, Jung K. 2013. "Selective Detection and Automated Counting of Fluorescently-Labeled Chrysotile Asbestos Using a Dual-Mode High-Throughput Microscopy (DM-HTM) Method." Sensors 13, no. 5: 5686-5699.

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