Browsing by Author "Surface, Ronne Leigh"

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    Use of Aperio Whole Slide Imaging System to Capture and Utilize Digital Virtual Slides for Pathology Education
    (Office of the Vice Chancellor for Research, 2014-04-11) Capouch, Samuel; Lipking, Kelsey; Surface, Ronne Leigh; Morgan, Randy; Sandusky, George E.
    Digital whole slide imaging is the technique of digitizing an entire microscope slide at the highest resolution to produce a “digital virtual microscope slide” with high image quality. This digital image can be viewed in three to four fields, from low to high power, a feature commonly used by pathologists. This digital virtual slide can be used in conjunction with image processing software (both windows-based and browser-based) to view, manipulate, position, and specify the magnification of the image on a screen as if using a regular microscope to view the original glass slide. As the slide is captured in a virtual format, it is possible to use the image for archiving, copying, transferring over networks, distant consultation, as well as integration for educational use on the web and/or DVD. In this study, we captured all C603 and C604 sophomore pathology teaching slides in the general and systemic pathology course for viewing and learning through the Aperio ImageScope viewer. The resulting digital images possessed greater ease of use, were quicker to scan and allowed easier location of pathologic lesions in the slides. The ImageScope viewer allowed students to quickly zoom in and out of the slides at multiple fields of magnification. Instructors that have switched to the Aperio system from the old Bliss system found the Aperio system allowed the instructor to open up to 8 slides at one time, allowing side by side comparison to be completed on the same screen. The system also allows one to measure the size of the cells and to capture detailed images of tumor cells, inflammatory cells, and/or necrosis (cell death). This system is available for use on desktop, laptop, and most digital devices (such as smart phones or tablets). Compared to the old Bliss system, which is unable to perform these functions.
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    Whole Slide Image Analysis Quantification using Aperio Digital Imaging in a Mouse Lung Metastasis Model
    (Office of the Vice Chancellor for Research, 2013-04-05) Surface, Ronne Leigh; Tonsing-Carter, Eva; Silver, Jayne M.; Sinn, Anthony L.; Peterson, Kacie M.; Pollok, Karen E.; Sandusky, George E.
    Digital whole slide imaging is the technique of digitizing a microscope slide at the highest resolution to produce a “digital virtual microscope slide”. This digital image can be viewed in three or four fields, from low to high power, which can be commonly used to evaluate the tissue. Many of these systems have whole slide software image analysis capability. The goal of this study was to determine if the Aperio positive pixel algorithm (image analysis) could effectively quantitate metastatic mouse lung tumors in a lung section using a H&E stain. Lung sections from a mouse lung metastasis model of 8 mice per group were evaluated: control, 50mg/kg, and 75mg/kg carboplatin. H&E and Ki67 immunostain slides were scanned using the Aperio whole slide scanning system (Scanscope CS). A single field of view from each slide representing a whole lung lobe with multiple lung metastases was selected for image analysis. The standard positive pixel algorithm was altered to read the H&E slides. Various histology slides were used to validate the altered algorithm. The immunostain (Ki67) was generated using the standard positive pixel algorithm analysis. The Aperio automated positive pixel count for a Ki67 immunostain was consistent with the H&E image analysis. The values decreased with a dose dependent treatment (control vs. 50mg/kg and 75mg/kg carboplatin) and were (H&E) 37%, 28%, and 22%, and (Ki67) 9%, 5%, and 3%. The analysis had decreasing values for both the H&E and Ki67 analysis on a dose dependent drug treatment. The metastases decreased in both treatment groups compared to controls with both the H&E and Ki67 analyses. The Aperio Image Analysis positive pixel algorithm allows large areas of the lung tissue section to be examined and not just a single 25x or 40x field like many common image analyses systems.