2016
DOI: 10.4103/2153-3539.197205
|View full text |Cite
|
Sign up to set email alerts
|

A quantitative approach to evaluate image quality of whole slide imaging scanners

Abstract: Context:The quality of images produced by whole slide imaging (WSI) scanners has a direct influence on the readers’ performance and reliability of the clinical diagnosis. Therefore, WSI scanners should produce not only high quality but also consistent quality images.Aim:We aim to evaluate reproducibility of WSI scanners based on the quality of images produced over time and among multiple scanners. The evaluation is independent of content or context of test specimen.Methods:The ultimate judge of image quality i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
21
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
3
1

Relationship

0
10

Authors

Journals

citations
Cited by 29 publications
(21 citation statements)
references
References 13 publications
0
21
0
Order By: Relevance
“…In WSI applications, the main issue is focus error and noise 7,[27][28][29] for quality management of digital pathology. presented a method to evaluate the quality of WSI with the intension to measure the scanner reproducibility 27) .…”
Section: Related Workmentioning
confidence: 99%
“…In WSI applications, the main issue is focus error and noise 7,[27][28][29] for quality management of digital pathology. presented a method to evaluate the quality of WSI with the intension to measure the scanner reproducibility 27) .…”
Section: Related Workmentioning
confidence: 99%
“…It is a known problem that the same slide scanned by same scanner at different times may appear different due to external factors including temperature and mechanical shifts. With the advent of computer-based diagnostics, high quality and reproducibility of scanned images can directly impact the diagnosis [5]. Quality of the image is also affected by factors such as thickness of the section, staining and fixation which are difficult to standardize.…”
Section: Discussionmentioning
confidence: 99%
“…Although postprocessing may improve image quality, it is not enough to compensate for limited quality in the recorded data (6). Nonuniform illumination, saturated regions, fluctuating brightness, and excessive cluttering are examples of factors limiting the quality of acquired images (7,8) and the reproducibility of quantitative analyses made from them (9). The system resulting from this protocol addresses these limitations by ensuring uniform illumination and reduced cluttering from increased NA, which ensures sectioning capability.…”
Section: Introductionmentioning
confidence: 99%