Red blood cell(RBC)indices serve as clinically important parameters for diagnosing various blood-related diseases.Conventional hematology analyzers provide the highly accurate detection of RBC indices but require larg...Red blood cell(RBC)indices serve as clinically important parameters for diagnosing various blood-related diseases.Conventional hematology analyzers provide the highly accurate detection of RBC indices but require large blood volumes(>1 mL),and the results are bulk mean values averaged over a large number of RBCs.Moreover,they do not provide quantitative information related to the morphological and chemical alteration of RBCs at the single-cell level.Recently,quantitative phase imaging(QPI)methods have been introduced as viable detection platforms for RBC indices.However,coherent QPI methods are built on complex optical setups and suffer from coherent speckle noise,which limits their detection accuracy and precision.Here,we present spectroscopic differential phase-contrast(sDPC)microscopy as a platform for measuring RBC indices.sDPC is a computational microscope that produces color-dependent phase images with higher spatial resolution and reduced speckle noise compared to coherent QPIs.Using these spectroscopic phase images and computational algorithms,RBC indices can be extracted with high accuracy.We experimentally demonstrate that sDPC enables the high-accuracy measurement of the mean corpuscular hemoglobin concentration,mean corpuscular volume,mean corpuscular hemoglobin,red cell distribution width,hematocrit,hemoglobin concentration,and RBC count with errors smaller than 7%as compared to a clinical hematology analyzer based on flow cytometry(XN-2000;Sysmex,Kobe,Japan).We further validate the clinical utility of the sDPC method by measuring and comparing the RBC indices of the control and anemic groups against those obtained using the clinical hematology analyzer.展开更多
基金supported by the Samsung Research Funding&Incubation Center of Samsung Electronics under Project SRFC-IT2002-07the National Research Foundation of Korea(NRF)Grant funded by the government of Korea(MSIT)(2023R1A2C3004040)+3 种基金the Korea Institute for Advancement of Technology(KIAT)Grant funded by the government of Korea(MOTIE)(P0019784)the Ministry of Science and ICT(Project 2023-22030004-20)(NTIS,1711179106)the Commercialization Promotion Agency for R&D Outcomes(COMPA)funded by the Ministry of Science and ICT(MSIT)(1711198541,development of key optical technologies of inspection and measurement for the analysis of 3D complex nanostructures)the Korea Medical Device Development Fund(KMDF_PR_20200901_0099,Project Number:9991007255).
文摘Red blood cell(RBC)indices serve as clinically important parameters for diagnosing various blood-related diseases.Conventional hematology analyzers provide the highly accurate detection of RBC indices but require large blood volumes(>1 mL),and the results are bulk mean values averaged over a large number of RBCs.Moreover,they do not provide quantitative information related to the morphological and chemical alteration of RBCs at the single-cell level.Recently,quantitative phase imaging(QPI)methods have been introduced as viable detection platforms for RBC indices.However,coherent QPI methods are built on complex optical setups and suffer from coherent speckle noise,which limits their detection accuracy and precision.Here,we present spectroscopic differential phase-contrast(sDPC)microscopy as a platform for measuring RBC indices.sDPC is a computational microscope that produces color-dependent phase images with higher spatial resolution and reduced speckle noise compared to coherent QPIs.Using these spectroscopic phase images and computational algorithms,RBC indices can be extracted with high accuracy.We experimentally demonstrate that sDPC enables the high-accuracy measurement of the mean corpuscular hemoglobin concentration,mean corpuscular volume,mean corpuscular hemoglobin,red cell distribution width,hematocrit,hemoglobin concentration,and RBC count with errors smaller than 7%as compared to a clinical hematology analyzer based on flow cytometry(XN-2000;Sysmex,Kobe,Japan).We further validate the clinical utility of the sDPC method by measuring and comparing the RBC indices of the control and anemic groups against those obtained using the clinical hematology analyzer.
