Proof of Concept for an Automated Image Analysis Method to Quantify Rat Bone Marrow Hematopoietic Lineages on H&E Sections. (April 2018)

• Record Type: Journal Article
• Authors: Kozlowski, Cleopatra; Fullerton, Aaron; Cain, Gary; Katavolos, Paula; Bravo, Joseph; Tarrant, Jacqueline M.
• Is Part Of: Toxicologic pathology. Volume 46:Number 3(2018)
• Page Start: 336
• Page End: 347
• Publication Date: 2018-04
• Subjects: bone marrow -- hematopoiesis -- image analysis -- histopathology -- cytology; Pathology -- Periodicals; Toxicology -- Periodicals; Pathology; Toxicology; 615.9
• DOI: 10.1177/0192623318766458
• Languages: English
• ISSNs: 0192-6233

Abstract

The bone marrow is an important site for assessment of the hematopoietic toxicity of new drug candidates. Here, we extended our previous work, where we developed a computer algorithm to automatically quantitate overall bone marrow cell density by analyzing digitized images of standard hematoxylin and eosin (H&E) slides of rat bone marrow and further evaluated the capability to quantify myeloid: erythroid + lymphoid (M:EL) ratio and megakaryocyte cell density. We tested the algorithm in a toxicity study, where rats were dosed with two molecules known to affect bone marrow composition, monomethyl auristatin E, and a Bcl-xL inhibitor. The image analysis method detected significant changes in M:EL and megakaryocyte number that were either not found or semiquantitatively described by manual microscopic observation of the same slides. The image analysis results were consistent with other more established but time-consuming methods that measure changes in bone marrow cell composition: smear cytology, flow cytometry, and microscopic assessment. Our work demonstrates the feasibility of a rapid and more quantitative assessment of changes in bone marrow cell lineage composition using a computer algorithm compared to microscopic examination of H&E-stained bone marrow sections.