Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis. (21st September 2021)
- Record Type:
- Journal Article
- Title:
- Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis. (21st September 2021)
- Main Title:
- Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis
- Authors:
- Katz, Ben‐Zion
Feldman, Michael D.
Tessema, Minychel
Benisty, Dan
Toles, Grace Stewart
Andre, Alicia
Shtreker, Bronka
Paz, Fatima Maria
Edwards, Joshua
Jengehino, Darrin
Bagg, Adam
Avivi, Irit
Pozdnyakova, Olga - Abstract:
- Abstract: 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 degreeAbstract: 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. … (more)
- Is Part Of:
- International journal of laboratory hematology. Volume 43:Number 6(2021)
- Journal:
- International journal of laboratory hematology
- Issue:
- Volume 43:Number 6(2021)
- Issue Display:
- Volume 43, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 43
- Issue:
- 6
- Issue Sort Value:
- 2021-0043-0006-0000
- Page Start:
- 1408
- Page End:
- 1416
- Publication Date:
- 2021-09-21
- Subjects:
- Artificial Inteligence -- blood smear -- laboratory automation -- morphology
Hematology -- Periodicals
Blood -- Diseases -- Periodicals
Hematology -- Periodicals
616.15005 - Journal URLs:
- http://firstsearch.oclc.org/FSIP?db=ECO&journal=1751-5521&screen=info&done=referer ↗
http://www.blackwell-synergy.com/loi/clh ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-553X ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/ijlh.13681 ↗
- Languages:
- English
- ISSNs:
- 1751-5521
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.312220
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 19847.xml