Department of Pathology

DIGITAL PATHOLOGY

Digital pathology is the future of the field of pathology. Virtual microscopy is one of the tools that makes this future possible. The Digital Pathology Core (DPC) provides a variety of services to researchers and their collaborators locally and around the world to ensure research and education are conducted faster, better and at a lower cost.

Digital slide images are ideal for collaboration between researchers, offering those down the hall, in different buildings or on opposite sides of the globe the ability to instantly view, assess and annotate slide images. Hosted digital slide images optimize busy researcher time by allowing viewing, assessing and annotating slide images from any location at any time. Multiple researchers can work on a set of slide images at the same time. Digital slide images protect tissue resources by minimizing cuttings and guarding against loss or damage in transportation. Another benefit of digital slide images is the ability to provide a permanent record of tissue specimens, stains and annotations for archival purposes. Digital slide images are the first step to unlocking tissue data through digital image analysis.

Whole Slide Image (WSI) 20x - $5.00 each

Scanning of a 1" x 3" slide to create digital whole slide image at 20x magnification


Whole Slide Image (WSI) 40x - $5.00 each

Scanning of a 1" x 3" slide to create digital whole slide image at 20x magnification


Algorithm development analysis - $50.00 each

Creation of unique algorithm beyond simple measurement of a single feature


Image Analysis of Whole Slide (WSI) - $25.00 each

Quantification of features (region of interest size, nuclear staining, marker staining, nuclear size, etc.) for a digital image (non-TMA)


Slide analysis (20X / 40X) - $5.00 each

Slide Annotation - $10.00 each

Slide annotation/marking


Static Image (JPEG) - $10.00 each

Extraction of a JPEG image from a digital whole slide image at requested magnification (1x-20x)


TMA image analysis 100+ core - $75.00 each

Quantification of features (nuclear staining, marker staining, nuclear size, etc.) per core for a tissue microarray of more than 100 cores


TMA image analysis 1-100 core - $50.00 each

Quantification of features (nuclear staining, marker staining, nuclear size, etc.) per core for a tissue microarray of 100 or fewer cores


OSUCCC / OSU Pathology Scan Center

The OSUCCC – James Digital Pathology team of experts is dedicated to detecting and diagnosing cancer accurately and quickly. Our team’s mission is to work with researchers and physicians to provide answers to research questions—simple and complex—using the most sophisticated technology available.

The digital pathology process begins with whole-slide imaging, or scanning conventional glass slides and then using sophisticated technology to join consecutive images digitally into a single, whole image—replicating the information on the glass slide.

  • (8) Philips Ultra Fast Scanners. Largest collection of such scanners in the country.
  • Scan approximately 2500 slides a day
  • Operational 24hrs a day / 5 days a week
  • All slides are scanned at 40x magnification
  • Each slide consist of apprximately 1GB of information
  • Cancer Data Trust

Publications and Presentations

  • 2017- Barth R, Kellough D, Allenby P, Blower L, Hammond S, Allenby G, Buja M. “Assessment of Luminal Narrowing of Coronary Arteries Based on Morphometrically Generated Visual Guides,” Journal of the American College of Cardiology.
  • 2016- Chen W, Ayers LW, Nohle DG, Kellough DA, Frankel WL. “Mast Cell Density and Distribution in Normal and Chronic Hepatitis C Livers Using Computer-Assisted Analysis,” Platform presentation at Department of Pathology Research Retreat, Ohio State University Wexner Medical Center, June 17, 2016.
  • 2016- Kellough DA, Barth RF, Brodsky SV, Hammond SE. Morphometric Assessment of Varying Degrees of Luminal Narrowing of Coronary Arteries. Department of Pathology Research Retreat, Ohio State University Wexner Medical Center, June 17, 2016.
  • 2016- Barth RF, Wu W, Meisen WH, Nakkula RJ, Yang W, Huo T, Kellough DA, Kaumaya P, Agius L and Kaur B, “Design, Synthesis and Evaluation of Cisplatin Containing EGFR Targeting Nanovehicles and Nanoparticles as Potential Therapeutic Agents for Brain Tumors.” Journal of Onco Targets and Therapy, 2016 May 10; 9:2769-81.
  • 2015- Zhao W, Chaudahry S, Patterson K, Zhang G, Kellough DA, and Jones D. “EZH2 Expression in Chronic Lymphocytic Leukemia Marks Proliferation Rate and Histologic Progression Not Subtype in Contrast to Other Epigenetic Features.” USCAP 2016.
  • 2015- Kellough DA, “Digital Pathology-Assisted QC Review.” Alliance for Clinical Trials in Oncology 2015 Spring Group Meeting, Chicago IL, May 13-16.
  • 2014- Van Brocklyn JR, Wojton J, Meisen WH, Kellough DA, Ecsedy JA, Kaur B, and Lehman NL, “Aurora-A inhibition offers a novel therapy effective against intracranial glioblastoma.” Cancer Research 2014 Oct 1;74(19):5364-70.
  • 2014- Kellough DA, Hammond SH, Mandt RL, Ramaradjou J, Nohle DG, and Ayers LW, “Tissue Morphometrics Using Definiens Tissue Studio 3.5 Facilitates Tissue Based Data Collection and Management.” International Society for Biological and Environmental Repositories (ISBER) 2014 Meeting. Orlando FL. May 20-24, 2014.
  • 2013- Akghul M, Nohle DG, Zhao W, Baiocchi RA, Sif S, Kellough DA, Hammond SH, and Ayers LW, “Mantle cell lymphoma (MCL) variants can be grouped based on tumor cell nuclear size and Ki67 proliferation index using digital image analysis.” 15th Annual Scientific Meeting OSUCCC-The James, The Ohio State University, Columbus OH, April 26, 2013.

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