Of the 2000 cases submitted for scanning, 8 (0.4%) were excluded for the following reasons: slide size did not meet scanner specifications (4 cases), no tissue was detected by scanner on any one of the slides selected for the case (2 cases), more than one case was selected for the patient (1 case), or slides were broken or damaged (1 case). This process yielded a “full analysis set” of 1992 cases (99.6% of enrolled cases).
Intellisite pathology solution
The IntelliSite Pathology Solution is a digital pathology platform developed by Philips. It enables the capture, management, and analysis of digital images of tissue samples. The system includes slide scanners, software for digitizing and managing pathology slides, and tools for collaboration and remote viewing of digital pathology images.
Lab products found in correlation
5 protocols using intellisite pathology solution
Automated Pathology Slide Digitization
Of the 2000 cases submitted for scanning, 8 (0.4%) were excluded for the following reasons: slide size did not meet scanner specifications (4 cases), no tissue was detected by scanner on any one of the slides selected for the case (2 cases), more than one case was selected for the patient (1 case), or slides were broken or damaged (1 case). This process yielded a “full analysis set” of 1992 cases (99.6% of enrolled cases).
Immunohistochemical Analysis of Tumor Invasion
Immune Profiling of Advanced Cancers
Histological analysis of mouse colons
Evaluating AI Correlation with Renal Cancer Histology
After removing three-micrometer slices from FFPE-TMA blocks for histological assessment of H&Estained slides, the TMA cores were used for mRNA isolation using ReliaPrep FFPE Total RNA Mini-prep System (Promega, Madison, Wisconsin, USA) as previously described [4] . A custom NanoString panel from the IMmotion 150 [2] and ClearCode34 [12] panels were used as previously described [4] . H&Estained TMA slides were scanned by a Philips IntelliSite Pathology Solution (Philips, Best, the Netherlands) to verify our AI model. This study was approved by the Institutional Review Board (No. 2018109 and No. 2020222).
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