학술논문
基于Unet++分割模型的全自动高通量菌落计数仪 / An automatic high throughput colony counter based on Unet++segmentation model
Document Type
Academic Journal
Source
食品与机械 / Food & Machinery. 39(11):53-142
Subject
Language
Chinese
ISSN
1003-5788
Abstract
目的:研制满足检验检测机构管理体系要求和实验室LIMS系统应用的全自动高通量菌落计数仪.方法:采用GigE工业相机、可变镜头和多光源组合照明系统进行菌落图像的连续采集,并采用Unet++分割模型进行图像识别处理和菌落计数.结果:该菌落计数仪完成1个平板的图像采集仅需38 s,采集效率较高;完成1个平板的图像传输和菌落识别计数整个过程仅需3～5 s,数据处理速度快且传输性能好;计数结果与现行标准要求的计数方法相比误差＜8％,准确率高;具有结果重复性好等特点,同时实现了菌落总数检测原始数据的自动化处理.结论:该设备不仅能高通量进行图像采集,自动进行图像处理和菌落计数,还可实现与实验室LIMS系统的融合,有效提高工作效率,而且能确保数据的溯源性,减轻试验人员工作强度,满足菌落总数计数方法的误差要求.
Objective:To improve the detection efficiency of the aerobic plate counter,to meet the requirements of quality management system of the inspection and testing institutions and the application of laboratory LIMS system.Methods:It was used to continuously collected of colonies image through the GigE industrial camera,variable lens and multiple light sources combined lighting system,at the same time the Unet++segmentation model was used for image recognition processing and colony counting.Results:The colony counter had the characteristics of high collection efficiency,it only took 38 s to complete the image acquisition of one plate.It only took 3～5 s to complete the whole process of image transmission and colony identification and counting of one plate,and it had fast data processing speed and good transmission performance.Compared with the counting method required by the current standard,the error rate of the counting result was less than 8％,and it had high accuracy of counting results and good repeatability.At the same time,it realized the automatic processing of the original data of the aerobic plate count detection.Conclusion:The equipment can not only carry out high-throughput image acquisition,automatic image processing and colony counting,but also can realize the fusion with the laboratory LIMS system,effectively improve the work efficiency.Meanwhile,it can ensure the data traceability,reduce the work intensity of the test personnel,meet the error requirements of the aerobic plate count method.
Objective:To improve the detection efficiency of the aerobic plate counter,to meet the requirements of quality management system of the inspection and testing institutions and the application of laboratory LIMS system.Methods:It was used to continuously collected of colonies image through the GigE industrial camera,variable lens and multiple light sources combined lighting system,at the same time the Unet++segmentation model was used for image recognition processing and colony counting.Results:The colony counter had the characteristics of high collection efficiency,it only took 38 s to complete the image acquisition of one plate.It only took 3～5 s to complete the whole process of image transmission and colony identification and counting of one plate,and it had fast data processing speed and good transmission performance.Compared with the counting method required by the current standard,the error rate of the counting result was less than 8％,and it had high accuracy of counting results and good repeatability.At the same time,it realized the automatic processing of the original data of the aerobic plate count detection.Conclusion:The equipment can not only carry out high-throughput image acquisition,automatic image processing and colony counting,but also can realize the fusion with the laboratory LIMS system,effectively improve the work efficiency.Meanwhile,it can ensure the data traceability,reduce the work intensity of the test personnel,meet the error requirements of the aerobic plate count method.