A method for quantitative analysis of clump thickness in cervical cytology slides

Fan, Yilun and Bradley, Andrew P. (2016) A method for quantitative analysis of clump thickness in cervical cytology slides. Micron, 80 73-82. doi:10.1016/j.micron.2015.09.002

Author Fan, Yilun
Bradley, Andrew P.
Title A method for quantitative analysis of clump thickness in cervical cytology slides
Journal name Micron   Check publisher's open access policy
ISSN 0968-4328
Publication date 2016-01-01
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.micron.2015.09.002
Open Access Status Not Open Access
Volume 80
Start page 73
End page 82
Total pages 10
Place of publication Kidlington, Oxford United Kingdom
Publisher Pergamon Press
Collection year 2016
Language eng
Abstract Knowledge of the spatial distribution and thickness of cytology specimens is critical to the development of digital slide acquisition techniques that minimise both scan times and image file size. In this paper, we evaluate a novel method to achieve this goal utilising an exhaustive high-resolution scan, an over-complete wavelet transform across multi-focal planes and a clump segmentation of all cellular materials on the slide. The method is demonstrated with a quantitative analysis of ten normal, but difficult to scan Pap stained, Thin-prep, cervical cytology slides. We show that with this method the top and bottom of the specimen can be estimated to an accuracy of 1 μm in 88% and 97% of the fields of view respectively. Overall, cellular material can be over 30 μm thick and the distribution of cells is skewed towards the cover-slip (top of the slide). However, the median clump thickness is 10 μm and only 31% of clumps contain more than three nuclei. Therefore, by finding a focal map of the specimen the number of 1 μm spaced focal planes that are required to be scanned to acquire 95% of the in-focus material can be reduced from 25.4 to 21.4 on average. In addition, we show that by considering the thickness of the specimen, an improved focal map can be produced which further reduces the required number of 1 μm spaced focal planes to 18.6. This has the potential to reduce scan times and raw image data by over 25%.
Keyword Virtual microscopy
Digital slide
Focal depths
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
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