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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Automated Protein Localization of Blood Brain Barrier Vasculature in Brightfield IHC Images
PloS one, v 11(2), pp e0148411-e0148411
2016
PMID: 26828723
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we present an objective method for localization of proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our segmentation pipeline which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryosectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
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Details
- Title
- Automated Protein Localization of Blood Brain Barrier Vasculature in Brightfield IHC Images
- Creators
- Rajath E Soans - Drexel UniversityDiane C Lim - University of PennsylvaniaBrendan T Keenan - University of PennsylvaniaAllan I Pack - University of PennsylvaniaJames A Shackleford - Drexel University
- Publication Details
- PloS one, v 11(2), pp e0148411-e0148411
- Publisher
- Public LIbrary of Science (PLOS)
- Grant note
- K12 HL090021 / NHLBI NIH HHS T32HL07713 / NHLBI NIH HHS P01 HL094307 / NHLBI NIH HHS HL094307 / NHLBI NIH HHS T32 HL007713 / NHLBI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000369548200099
- Scopus ID
- 2-s2.0-84959017268
- Other Identifier
- 991019168550904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Neurosciences