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OptraSCAN®, the world's leading provider of on-demand digital pathology solutions, today announced the launch of its smart solution CytoSiA, which can quickly and economically scan and analyze liquid-based cytology sections and Pap smears
.
This is a comprehensive solution consisting of OptraSCAN digital pathology scanner, storage and powerful artificial intelligence (AI) algorithms, which can assist pathologists and cytology technologists in screening and detecting cervical cancer, precancerous lesions, and SARS Type cells and all other cytological categories
"OptraSCAN founder Abhi Gholap said, "OptraSCAN redefines cervical cancer screening by launching CytoSiA
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CytoSiA can provide a large number of features to effectively screen liquid-based cytology slices and Pap smears, so that the Bethesda classification method can be used to distinguish between normal and abnormal squamous cell carcinoma (NILM/LSIL/HSIL/SCC) Cervical cells
The OptraSCANS digital scanner can scan a 15x15 mm cytology section at 40x magnification in 60 seconds while producing the highest quality images
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CytoSia uses a patented technology-composite imaging, which can find all the focus pixels from various Z-plane images and re-splice them to form a single-layer composite image
When CytoSiA is used as a companion diagnostic tool, if the pathologist’s interpretation is found to be inconsistent with the results of the AI algorithm, it will notify the pathologist to prevent errors or misinterpretations and improve the overall quality of care
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CytoSiA features:
- Automatically calculate the sample adequacy of the entire slice cytology image
- Use Bethesda score to identify abnormal cells and other entities based on morphological features and AI classification
- Identify reactive, endometrium, actinomycetes, candida, clue cells, Trichomonas vaginalis and herpes entities
- Identify entities such as blood, inflammation, and lubricants
Dr.
Aparna Joshi, Medical Director of OptraSCAN, said, “AI-based image analysis requires the use of high-quality images
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” “Our team has developed an intelligent imaging technology that can convert physical glass cytology slices into clear digital Image