Pramana Poster at USCAP 2024
Our integrated model handles the intra and inter slide stain variation and gives consistent results.
Read MoreOur integrated model handles the intra and inter slide stain variation and gives consistent results.
Read MoreEdge compute running state-of-the-art feature detection algorithms inline with image acquisition reduces the need for massive on-premise computers
Read MoreThis moderated presentation and panel discussion from Pathology Visions 2023 provided the participants a unique perspective of two leading organizations in US in their large scaled digital pathology operation for precision medicine.
Read MoreAt the Global Engage summit, in London, Pramana's poster discusses use of inline banding and detection correction algorithms to improve image quality in whole slide imaging (WSI).
Read MoreIntelligent scanning solutions remove variability due to human involvement, and we have successfully demonstrated these methods for mass and large scale digitization efforts
Read MoreAn automated system that allows the scanning of challenging glass slides and subsequent flagging of quality issues is highly desirable in high throughput settings and could result in reduced need for manual preparation of slides for scanning and subsequent QC steps.
Read MoreIn-line analysis of tissue thickness variation and color hue distribution can help achieve better color normalization when biological variability in tissue is also accounted for.
Read MoreUse of image acquisition algorithms while scanning old slides with artifacts such as bubble, dirt and beyond helped in improving whole slide image quality, thus eliminating the need for pre-treatment (e.g. cleaning, re-cover slipping old slides).
Read MoreIn 2021, The Mayo Clinic engaged Pramana to evaluate the quality, ease of use and throughput of the Pramana Sprectral HT Scanning Solution and business model, Digital Pathology as a Service (DPaaS). The result of this evaluation was the inclusion in, and eventual contract award for an RFP for a multi-million Whole Slide Imaging archival slide project.
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