TY - JOUR
T1 - Evaluation of Scopio Labs X100 Full Field PBS
T2 - The first high-resolution full field viewing of peripheral blood specimens combined with artificial intelligence-based morphological analysis
AU - Katz, Ben Zion
AU - Feldman, Michael D.
AU - Tessema, Minychel
AU - Benisty, Dan
AU - Toles, Grace Stewart
AU - Andre, Alicia
AU - Shtreker, Bronka
AU - Paz, Fatima Maria
AU - Edwards, Joshua
AU - Jengehino, Darrin
AU - Bagg, Adam
AU - Avivi, Irit
AU - Pozdnyakova, Olga
N1 - Publisher Copyright:
© 2021 The Authors. International Journal of Laboratory Hematology published by John Wiley & Sons Ltd.
PY - 2021/12
Y1 - 2021/12
N2 - Background: Current digital cell imaging systems perform peripheral blood smear (PBS) analysis in limited regions of the PBS and require the support of manual microscopy without achieving full digital microscopy. We report a multicenter study that validated the Scopio Labs X100 Full Field PBS, a novel digital imaging system that utilizes a full field view approach for cell recognition and classification, in a decision support system mode. Methods: We analyzed 335 normal and 310 abnormal PBS from patients with various clinical conditions and compared the performance of Scopio's Full Field PBS as the test method, with manual PBS analysis as the reference method. Deming regression analysis was utilized for comparisons of WBC and platelet estimates. Measurements of WBC and platelet estimation accuracy along with the agreement on RBC morphology evaluation were performed. Reproducibility and repeatability (R&R) of the system were also evaluated. Results: Scopio's Full Field PBS WBC accuracy was evaluated with an efficiency of 96.29%, sensitivity of 87.86%, and specificity of 97.62%. The agreement between the test and reference method for RBC morphology reached 99.77%, and the accuracy for platelet estimation resulted in an efficiency of 94.89%, sensitivity of 90.00%, and specificity of 96.28%, with successful R&R tests. The system enabled a comprehensive review of full field PBS as shown in representative samples. Conclusions: Scopio's Full Field PBS showed a high degree of correlation of all tested parameters with manual microscopy. The novel full field view of specimens facilitates the long-expected disengagement between the digital application and the manual microscope.
AB - Background: Current digital cell imaging systems perform peripheral blood smear (PBS) analysis in limited regions of the PBS and require the support of manual microscopy without achieving full digital microscopy. We report a multicenter study that validated the Scopio Labs X100 Full Field PBS, a novel digital imaging system that utilizes a full field view approach for cell recognition and classification, in a decision support system mode. Methods: We analyzed 335 normal and 310 abnormal PBS from patients with various clinical conditions and compared the performance of Scopio's Full Field PBS as the test method, with manual PBS analysis as the reference method. Deming regression analysis was utilized for comparisons of WBC and platelet estimates. Measurements of WBC and platelet estimation accuracy along with the agreement on RBC morphology evaluation were performed. Reproducibility and repeatability (R&R) of the system were also evaluated. Results: Scopio's Full Field PBS WBC accuracy was evaluated with an efficiency of 96.29%, sensitivity of 87.86%, and specificity of 97.62%. The agreement between the test and reference method for RBC morphology reached 99.77%, and the accuracy for platelet estimation resulted in an efficiency of 94.89%, sensitivity of 90.00%, and specificity of 96.28%, with successful R&R tests. The system enabled a comprehensive review of full field PBS as shown in representative samples. Conclusions: Scopio's Full Field PBS showed a high degree of correlation of all tested parameters with manual microscopy. The novel full field view of specimens facilitates the long-expected disengagement between the digital application and the manual microscope.
KW - Artificial Inteligence
KW - blood smear
KW - laboratory automation
KW - morphology
UR - http://www.scopus.com/inward/record.url?scp=85115274600&partnerID=8YFLogxK
U2 - 10.1111/ijlh.13681
DO - 10.1111/ijlh.13681
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C2 - 34546630
AN - SCOPUS:85115274600
SN - 1751-5521
VL - 43
SP - 1408
EP - 1416
JO - International Journal of Laboratory Hematology
JF - International Journal of Laboratory Hematology
IS - 6
ER -