Histology and Image Analysis

AI Arig Ibrahim-Hashim
MR Mark Robertson-Tessi
PE Pedro M. Enriquez-Navas
MD Mehdi Damaghi
YB Yoganand Balagurunathan
JW Jonathan W. Wojtkowiak
SR Shonagh Russell
YK Yoonseok Kam
ML Mark C. Lloyd
MB Marilyn Bui
JB Joel Brown
AA Alexander R. A. Anderson
RG Robert J Gillies
RG Robert A. Gatenby
request Request a Protocol
ask Ask a question
Favorite

At necropsy, the Lung/Heart, liver, and genitourinary system were collected. Tissues were processed, embedded in paraffin, and 4 – 5 μm slices of the tissues were obtained. Slides were stained with hematoxylin and eosin (H&E) stain, and were graded by a pathologist for presence of tumor tissue. Histology slides were scanned using the Aperio™ (Vista, CA) ScanScope XT with a 20x/0.8NA objective lens (200×) at a rate of 2 minutes per slide via Basler tri-linear-array. An Aperio (Vista, CA) Positive Pixel Count® v9.0 algorithm with the following thresholds: [Hue Value =.1; Hue Width =.5; Color Saturation Threshold =0.04; IWP(High) = 220; Iwp(Low)=Ip(High) = 175; Ip(low) =Isp(High) =100 Isp(Low) =0] was used to segment positive staining of various intensities. The algorithm was applied to the entire digital core image to determine the percentage of positive biomarker staining by applicable area.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A