Ever since we introduced our Full-Field Peripheral Blood Smear Application (FF-PBS), hematology laboratories have been using it to reduce turnaround time for PBS review by 60% and significantly increase workflow efficiency. Unlike other digital solutions, the FF-PBS reveals a full-field image of the sample at 100x magnification, giving lab professionals a view of all regions of clinical interest, including the feathered edge.

Scopio’s full-field approach to blood cell identification, estimation, and pre-classification now spans RBCs, WBCs, and platelets — including platelet clump detection. In addition to providing AI decision support for WBC and platelets, the latest release of the FF-PBS Application incorporates an innovative Red Blood Cells AI Decision Support System (RBC-DSS) that affirms a fully digital, full-field, and fully remote* workflow.

Here’s a closer look at the three key advancements that set it apart.

1. Encompassing more than 10,000-cells

   Scopio’s AI-Based Decision Support System (DSS) enhances conventional analysis methods by examining over 10,000 cells and pre-grading 22 morphological parameters of red blood cells (RBCs). The introduction of RBC-DSS streamlines and standardizes the digital review process, adds a layer of detection and quantification beyond the current standard of review, and adds further efficiency to the workflow process.

   The DSS provides insights on morphological parameters such as  variations in the size, shape, and color of RBCs as well as the intracellular inclusions. ² Without laborious review of the sample and eyeballing the percentage of morphological abnormalities, there’s more time to focus on cells of clinical interest.¹

   The detection of  clinical significant morphological abnormalities with a 10,000-cell sample can potentially promote accurate diagnosis and improve disease state monitoring.

2. Turns potential misses into more likely discoveries

   We all know that schistocytes and parasitic inclusions are of particular clinical significance among the 22 RBC abnormalities pre-graded.
   The presence of schistocytes on a peripheral blood smear (PBS) might indicate an hematological emergency that requires prompt intervention.

   Scopio’s RBC AI-DSS enables a more accurate parasite load estimation, and detects and quantifies red blood cell fragments. A comprehensive review of such a large number of cells by the RBC-DSS can improve the chances of detection of these significant morphologic abnormalities, helping determine disease severity and aiding precise treatment planning.

   

3. Captures clumps at the feathered edge at 100x without going to the microscope

   The feathered edge is particularly important for viewing platelet clumps.³

   The RBC-DSS provides automated platelet clump detection by analyzing the scanned area, including the feathered edge, at unprecedented 100x oil-immersion resolution-equivalent for every scan.

   Expert reviewers can view both large and small platelet clumps at the feathered edge and in the monolayer, always in context.

   

   In the absence of a full-field view at high resolution, reviewers can easily miss or underestimate platelet clumps, and it may be difficult to differentiate between actual low platelet counts or pseudothrombocytopenia, which can negatively impact decision-making for critical procedures where accurate platelet information is vital for patient care.

The verdict: only full-field digital cell morphology can truly replace the microscope

With Scopio’s AI-powered PBS application built on full-field imaging technology, you can bring the full power of digital morphology to your hematology lab with no compromises. Now with an additional layer of RBC and platelet AI capabilities in our user-friendly platform, the FF-PBS Application eliminates the need for time-consuming manual microscopy, giving your lab an advantage in efficiency, accuracy, and patient care.

*from the secure hospital network

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Disclaimer: Scopio’s X100/ X100HT with Full-Field Peripheral Blood Smear™ Application is CE marked and currently available with RBC-DSS capability for clinical use in CE-regulated countries, While this technology is not yet available for commercial use in the United States, we are actively working to make it accessible in additional regions.

References:

1. Walter W, Pohlkamp C, Meggendorfer M, Nadarajah N, Kern W, Haferlach C, et al. Artificial intelligence in hematological diagnostics: Game changer or gadget? Blood Rev. 2023;58:101019. doi: 10.1016/j.blre.2022.101019
2. Adewoyin AS, Nwogoh B. Peripheral blood film – a review. Ann Ib Postgrad Med. 2014;12(2):71-79. PMID: 25960697; PMCID: PMC4415389
3. Kratz A, Lee SH, Zini G, Riedl JA, Hur M, Machin S; International Council for Standardization in Haematology. Digital morphology analyzers in hematology: ICSH review and recommendations. Int J Lab Hematol. 2019;41(4):437-447. doi: 10.1111/ijlh.13042