Towards assessment of the image quality in the high-content screening

Yury Tsoy

doi:10.1117/12.2083344

8 February 2015 Towards assessment of the image quality in the high-content screening

Yury Tsoy

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.

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

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