Clinical information about a variety of disorders is available through blood cell counting,which is usually done by manual methods.However,manual methods are complex,time-consuming and susceptible to the subjective ex...Clinical information about a variety of disorders is available through blood cell counting,which is usually done by manual methods.However,manual methods are complex,time-consuming and susceptible to the subjective experience of inspectors.Although many efforts have been made to develop automated blood cell counting algorithms,the complexity of blood cell distribution and the highly overlapping nature of some red blood cells(RBCs) remain significant challenges that limit the improvement of analytical accuracy.Here,we proposed an end-to-end method for blood cell counting based on deep learning.Firstly,U-Net++ was used to segment the whole blood cell image into several regions of interest(ROI),and each ROI contains only one single cell or multiple overlapping cells.Subsequently,YOLOv5 was used to detect blood cells in each ROI.Specifically,we proposed several strategies,including fine classification of RBCs,adaptive adjustment for non-maximal suppression(NMS) threshold and blood cell morphology constraints to improve the accuracy of detection.Finally,the detection outcomes for each ROI were combined and superimposed.The results show that our method can effectively address the issue of high overlap and precisely segment and detect blood cells,with a 98.18% accuracy rate for blood cell counting.展开更多
目的机采血小板献血过程结束后,所用耗材管路中会有部分残余的血液无法完全回输给献血者导致浪费。文章旨在探索一种安全、简便的操作方法,尽可能减少献血者失血。方法随机抽取10名无偿机采血小板献血者,选用FENWAL血细胞分离机单针血...目的机采血小板献血过程结束后,所用耗材管路中会有部分残余的血液无法完全回输给献血者导致浪费。文章旨在探索一种安全、简便的操作方法,尽可能减少献血者失血。方法随机抽取10名无偿机采血小板献血者,选用FENWAL血细胞分离机单针血小板采集程序,按照血细胞分离机操作手册进行血小板采集,在机器执行最后一步还输程序的抽吸时将空气陷阱倒立,并且在还输程序结束后将盐水管路和返血管路脱离各自的管路夹,通过重力的作用还输,对返血管路、空气陷阱、管路耗材残余血液分别进行细胞计数。结果管路耗材最终留有稀释血液(84.68±4.38) m L,其中含有相当于(42.06±4.08) m L全血中的红细胞,以及(214.37±68.09) m L全血中的白细胞。空气陷阱留有(11.98±3.27) m L[相当于(8.32±2.52) m L全血中的红细胞,以及(58.97±24.57) m L全血中的白细胞]血液;返血管路留有20m L[相当于(11.18±1.18) m L全血中的红细胞,以及(80.74±30.89) m L全血中的白细胞]血液,将空气陷阱和返血管路留有的血液通过改进操作方法还输至献血者体内。结论空气陷阱和返血管路中残留的血液可还输到献血者体内,为无偿献血事业的健康发展提供技术支持。展开更多
基金supported by the National Natural Science Foundation of China (No.61201106)the Tianjin Special Program of Science and Technology (No.19JCTPJC47900)。
文摘Clinical information about a variety of disorders is available through blood cell counting,which is usually done by manual methods.However,manual methods are complex,time-consuming and susceptible to the subjective experience of inspectors.Although many efforts have been made to develop automated blood cell counting algorithms,the complexity of blood cell distribution and the highly overlapping nature of some red blood cells(RBCs) remain significant challenges that limit the improvement of analytical accuracy.Here,we proposed an end-to-end method for blood cell counting based on deep learning.Firstly,U-Net++ was used to segment the whole blood cell image into several regions of interest(ROI),and each ROI contains only one single cell or multiple overlapping cells.Subsequently,YOLOv5 was used to detect blood cells in each ROI.Specifically,we proposed several strategies,including fine classification of RBCs,adaptive adjustment for non-maximal suppression(NMS) threshold and blood cell morphology constraints to improve the accuracy of detection.Finally,the detection outcomes for each ROI were combined and superimposed.The results show that our method can effectively address the issue of high overlap and precisely segment and detect blood cells,with a 98.18% accuracy rate for blood cell counting.
文摘目的机采血小板献血过程结束后,所用耗材管路中会有部分残余的血液无法完全回输给献血者导致浪费。文章旨在探索一种安全、简便的操作方法,尽可能减少献血者失血。方法随机抽取10名无偿机采血小板献血者,选用FENWAL血细胞分离机单针血小板采集程序,按照血细胞分离机操作手册进行血小板采集,在机器执行最后一步还输程序的抽吸时将空气陷阱倒立,并且在还输程序结束后将盐水管路和返血管路脱离各自的管路夹,通过重力的作用还输,对返血管路、空气陷阱、管路耗材残余血液分别进行细胞计数。结果管路耗材最终留有稀释血液(84.68±4.38) m L,其中含有相当于(42.06±4.08) m L全血中的红细胞,以及(214.37±68.09) m L全血中的白细胞。空气陷阱留有(11.98±3.27) m L[相当于(8.32±2.52) m L全血中的红细胞,以及(58.97±24.57) m L全血中的白细胞]血液;返血管路留有20m L[相当于(11.18±1.18) m L全血中的红细胞,以及(80.74±30.89) m L全血中的白细胞]血液,将空气陷阱和返血管路留有的血液通过改进操作方法还输至献血者体内。结论空气陷阱和返血管路中残留的血液可还输到献血者体内,为无偿献血事业的健康发展提供技术支持。
