CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 9396 > Article
Paper
8 February 2015 Towards assessment of the image quality in the high-content screening
Yury Tsoy
Author Affiliations +
Proceedings Volume 9396, Image Quality and System Performance XII; 939603 (2015) https://doi.org/10.1117/12.2083344
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
High-Content Screening (HCS) is a powerful technology for biological research, which relies heavily on the capabilities for processing and analysis of cell biology images. The quality of the quantification results, obtained by analysis of hundreds and thousands of images, is crucial for analysis of biological phenomena under study. Traditionally, a quality control in the HCS refers to the preparation of biological assay, setting up instrumentation, and analysis of the obtained quantification results, thus skipping an important step of assessment of the image quality. So far, only few papers have been addressing this issue, but no standard methodology yet exists, that would allow pointing out images, potentially producing outliers when processed. In this research the importance of the image quality control for the HCS is emphasized, with the following possible advantages: (a) validation of the visual quality of the screening; (b) detection of the potentially problem images; (c) more accurate setting of the processing parameters. For the detection of outlier images the Power Log-Log Slope (PLLS) is applied, as it is known to be sensitive to the focusing errors, and validated using open data sets. The results show that PLLS correlates with the cell counting error and, when taken it into account, allows reducing the variance of measurements. Possible extensions and problems of the approach are discussed.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yury Tsoy "Towards assessment of the image quality in the high-content screening", Proc. SPIE 9396, Image Quality and System Performance XII, 939603 (8 February 2015); https://doi.org/10.1117/12.2083344
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 9 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image quality
Image processing
Image segmentation
Biological research
Analytical research
Image analysis
Image processing algorithms and systems
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top