Classifying protein crystallization trial images using subordinate color channel

Truong X. Tran, Ramazan S. Aygun, Marc L. Pusey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper presents a new method of segmenting and classifying protein crystallization trial images that were collected using trace fluorescent labeling. Trace fluorescent labeling typically involves fluorescence dye that can re-emit the illumination light at other wavelengths around the principal wavelength. The captured image has a primary color channel with respect to illumination light and fluorescence dye. Crystals will have higher intensity than non-crystal areas. But there might be bright regions that may not be crystals, thereby making inaccurate and not robust trial images classification. In this paper, we utilize the subordinate color channel besides the primary color in the image of trace fluorescently labeled protein solution. This new method extracts proper features and successfully builds a high accuracy classifier with a low rate of misclassification of crystals as non-crystals. We also present a framework that could optimize both image segmentation and classification. In our experiments, we achieved around 94% accuracy with 0.6% misclassification of crystals as non-crystal.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
EditorsIllhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1546-1553
Number of pages8
ISBN (Electronic)9781509030491
DOIs
StatePublished - Dec 15 2017
Event2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
Duration: Nov 13 2017Nov 16 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Country/TerritoryUnited States
CityKansas City
Period11/13/1711/16/17

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics

Cite this