title: Commentary: Roles for Pathologists in a High-throughput Image Analysis Team.
abstract: Historically, pathologists perform manual evaluation of H&E- or immunohistochemically-stained slides, which can be subjective, inconsistent, and, at best, semiquantitative. As the complexity of staining and demand for increased precision of manual evaluation increase, the pathologist's assessment will include automated analyses (i.e., "digital pathology") to increase the accuracy, efficiency, and speed of diagnosis and hypothesis testing and as an important biomedical research and diagnostic tool. This commentary introduces the many roles for pathologists in designing and conducting high-throughput digital image analysis. Pathology review is central to the entire course of a digital pathology study, including experimental design, sample quality verification, specimen annotation, analytical algorithm development, and report preparation. The pathologist performs these roles by reviewing work undertaken by technicians and scientists with training and expertise in image analysis instruments and software. These roles require regular, face-to-face interactions between team members and the lead pathologist. Traditional pathology training is suitable preparation for entry-level participation on image analysis teams. The future of pathology is very exciting, with the expanding utilization of digital image analysis set to expand pathology roles in research and drug development with increasing and new career opportunities for pathologists.
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA faeffner@flagshipbio.com.
authors.forename: Famke
authors.initials: F
authors.lastname: Aeffner
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: Kristin
authors.initials: K
authors.lastname: Wilson
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: Brad
authors.initials: B
authors.lastname: Bolon
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: Suzanne
authors.initials: S
authors.lastname: Kanaly
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: Charles R
authors.initials: CR
authors.lastname: Mahrt
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: Dan
authors.initials: D
authors.lastname: Rudmann
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: Elaine
authors.initials: E
authors.lastname: Charles
authors.affiliation: Flagship Biosciences Inc., Westminster, Colorado, USA.
authors.forename: G David
authors.initials: GD
authors.lastname: Young
mesh_terms: D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods* / Q000592:standards*; D000072142:Pathologists; D010338:Pathology, Clinical / Q000379:methods* / Q000592:standards*
keywords: algorithm; biomarker; digital image analysis; digital pathology; immunohistochemistry; pathology; tissue image analysis