Paper
14 February 2012 An automatic scanning method for high throughput microscopic system to facilitate medical genetic diagnosis: an initial study
Yuchen Qiu, Xiaodong Chen, Zheng Li, Yuhua Li, Wei R. Chen, Bin Zheng, Shibo Li, Hong Liu
Author Affiliations +
Proceedings Volume 8224, Biophotonics and Immune Responses VII; 82240E (2012) https://doi.org/10.1117/12.910644
Event: SPIE BiOS, 2012, San Francisco, California, United States
Abstract
The purpose of this paper is to report a new automatic scanning scheme for high throughput microscopic systems aiming to facilitate disease diagnosis in genetic laboratories. To minimize the impact of the random vibration and mechanical drifting of the scanning stage in microscopic image acquisition, auto-focusing operations are usually applied repeatedly during the scanning process. Such methods ensure the acquisition of well focused images for clinical diagnosis, but are time consuming. The technique investigated in this preliminary study applies the auto-focusing operations at a limited number of locations on the slide. For the rest of the imaging field, the focusing position is quickly adjusted through linear interpolation. In this initial validation study, blood pathological slides containing both metaphase and interphase cells are scanned. For a selected area of 6.9mm×6.9mm, a number of 2×2, 3×2, 3×3, and 4×4 positions are evenly sampled for auto-focusing operations. Respectively, 25, 29, 40, and 41 clinically meaningful cells are identified for each sampling scheme. For the specific case investigated, the results demonstrate that the 4 position auto-focusing scheme could obtain the adequate number of clinically meaningful cells for the diagnosis. The schemes with more auto-focusing operations provide an option for high reliability diagnosis when clinically necessary. More comprehensive research is planned, and that may lead to optimal design of trade-off for developing the scanning scheme of the high throughput microscopic systems.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuchen Qiu, Xiaodong Chen, Zheng Li, Yuhua Li, Wei R. Chen, Bin Zheng, Shibo Li, and Hong Liu "An automatic scanning method for high throughput microscopic system to facilitate medical genetic diagnosis: an initial study", Proc. SPIE 8224, Biophotonics and Immune Responses VII, 82240E (14 February 2012); https://doi.org/10.1117/12.910644
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Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Surgery

Genetics

Blood

Diagnostics

Error analysis

Image quality

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