Evaluation of 3 Point-of-Care Testing Hematology Analyzers for White Blood Count

Author(s):  
Nannette Brouwer ◽  
Monique Chevallier ◽  
Willem Wilbie ◽  
Margreet Schoorl ◽  
Johannes van Pelt
Author(s):  
Gavino Napolitano ◽  
Alessandra Caracciolo ◽  
Sara Apassiti Esposito ◽  
Nunzia Della Malva ◽  
Barbara Manenti ◽  
...  

2021 ◽  
Author(s):  
Neta Bachar ◽  
Dana Benbassat ◽  
David Brailovsky ◽  
Yochay Eshel ◽  
Dan Glück ◽  
...  

Hematology analyzers capable of performing complete blood count (CBC) have lagged in their prevalence at the point-of-care. Sight OLO® (Sight Diagnostics, Israel) is a novel hematological platform which provides a 19 parameter, five-part differential CBC, and is designed to address the limitations in current point-of-care hematology analyzers using recent advances in artificial intelligence (AI) and computer vision. Accuracy, repeatability, and flagging capabilities of OLO were compared with the Sysmex XN-Series System (Sysmex, Japan). Matrix studies compared performance using venous, capillary and direct-from-finger-prick blood samples. Regression analysis shows strong concordance between OLO and the Sysmex XN, demonstrating that OLO performs with high accuracy for all CBC parameters. High repeatability and reproducibility were demonstrated for most of the testing parameters. The analytical performance of the OLO hematology analyzer was validated in a multicenter clinical laboratory setting, demonstrating its accuracy and comparability to clinical laboratory-based hematology analyzers. Furthermore, the study demonstrated the validity of CBC analysis of samples collected directly from fingerpricks.One Sentence SummaryWe present a novel diagnostic platform based on artificial intelligence-assisted image analysis that is capable of performing rapid complete blood count from venous, capillary, and finger-prick samples in near-patient settings.


2020 ◽  
Vol 27 ◽  
Author(s):  
Yi Zhang

: Point-of-care (POC) testing decentralizes the diagnostic tests to the sites near the patient. Many POC tests rely microfluidic platforms for sample-to-answer analysis. Compared to other microfluidic systems, magnetic digital microfluidics demonstrate compelling advantages for POC diagnostics. In this review, we have examined the capability of magnetic digital microfluidics-based POC diagnostic platforms. More importantly, we have categorized POC settings into three classes based on “where is the point”, “who to care” and “how to test”, and evaluated the suitability of magnetic digital microfluidics in various POC settings. Furthermore, we have addressed other technical issues associated with POC testing such as controlled environment, sample-system interface, system integration and information connectivity. We hope this review would provide a guideline for the future development of magnetic digital microfluidics-based platforms for POC testing.


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