Please wait a minute...
浙江大学学报(工学版)
浙江大学学报(工学版)  2023, Vol. 57 Issue (12): 2439-2447    DOI: 10.3785/j.issn.1008-973X.2023.12.011
计算机技术     
基于缪勒矩阵显微图像的微塑料和微藻分类
卢小刚1,2(),崔炜2,熊志航2,3,张华峰1,廖然2,*()
1. 长江大学 物理与光电工程学院，湖北 荆州 434023
2. 清华大学深圳国际研究生院，广东 深圳 518055
3. 佛山科学技术学院 物理与光电工程学院，广东 佛山 528231
Classification of microplastics and microalgae based on Mueller matrix microscopic images
Xiao-gang LU1,2(),Wei CUI2,Zhi-hang XIONG2,3,Hua-feng ZHANG1,Ran LIAO2,*()
1. School of Physics and Optoelectronic Engineering, Yangtze University, Jingzhou 434023, China
2. Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
3. School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528231, China
 全文: PDF(1759 KB)   HTML
摘要：

使用缪勒矩阵显微镜测量2种微塑料（聚氯乙烯、尼龙6）和2种微藻（多芒藻、衣藻）. 使用缪勒矩阵显微镜进行微塑料和微藻分类，讨论影响这种分类方法的多种因素，提出提高分类准确率的可能方案. 利用缪勒矩阵显微镜高通量地测量大视野范围内所有颗粒物的缪勒矩阵，由缪勒矩阵计算得到多个偏振参数，将所得偏振参数作为表征颗粒物物理性质的特征值，并进一步借助前馈神经网络实现对样品分类. 实验结果表明，利用缪勒矩阵图像数据能够成功进行微塑料和微藻分类，分类准确率均超过80%，由此验证了利用缪勒矩阵显微镜对水中微塑料和微藻进行分类的可行性.
关键词： 缪勒矩阵显微镜;  缪勒矩阵;  微塑料;  微藻;  颗粒物分类    
Abstract:

Two categories of microplastics (polyvinyl chloride and nylon 6) and two categories of microalgae (Golenkinia and Chlamydomonas) were measured by the Mueller matrix microscope. Mueller matrix microscope was used to classify microplastics and microalgae, and the factors affecting the mothod of this classification were discussed, and the potential solutions to improve the accuracy rate of classification were proposed. Mueller matrix microscope was used to high-throughput measure the Mueller matrix of all particles within a large field of view. Then, multiple polarization parameters were calculated from the Mueller matrix, and the polarization parameters were used as characteristic values to characterize the physical properties of particles. Further, the feedforward neural network was used to classify the samples. Experimental results show that the Mueller matrix image can successfully classify microplastics and microalgae with an accuracy of more than 80%, and the feasibility of using Mueller matrix microscope to classify microplastics and microalgae in water was confirmed.
Key words: Mueller matrix microscope    Mueller matrix    microplastics    microalgae    classification of particles
收稿日期: 2023-02-23 出版日期: 2023-12-27
CLC:  O 436.3  
基金资助: 国家自然科学基金资助项目(61975088, 62275141)；深港联合项目(SGDX20201103095403017)
通讯作者: 廖然     E-mail: 2395639962@qq.com;liao.ran@sz.tsinghua.edu.cn
作者简介: 卢小刚（1997—），男，硕士生，从事缪勒显微镜偏振成像研究. orcid.org/0000-0002-3167-1187. E-mail： 2395639962@qq.com
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章　　
卢小刚
崔炜
熊志航
张华峰
廖然

引用本文:

卢小刚,崔炜,熊志航,张华峰,廖然. 基于缪勒矩阵显微图像的微塑料和微藻分类[J]. 浙江大学学报(工学版), 2023, 57(12): 2439-2447.

Xiao-gang LU,Wei CUI,Zhi-hang XIONG,Hua-feng ZHANG,Ran LIAO. Classification of microplastics and microalgae based on Mueller matrix microscopic images. Journal of ZheJiang University (Engineering Science), 2023, 57(12): 2439-2447.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2023.12.011    或    https://www.zjujournals.com/eng/CN/Y2023/V57/I12/2439

图 1  缪勒矩阵显微镜结构图
图 2  微塑料和微藻的光强图像
图 3  前馈神经网络模型示意图
图 4  微塑料和微藻的缪勒矩阵图像
图 5  聚氯乙烯和尼龙6的混淆矩阵和分类效果图
图 6  多芒藻和衣藻的混淆矩阵和分类效果图
图 7  聚氯乙烯和多芒藻的混淆矩阵以及分类效果图
图 8  4种颗粒物四分类的混淆矩阵
图 9  2种微藻采用像素点法时分类后得到的混淆矩阵
图 10  采用不同数据处理方法时2种偏振参数值的分布图
图 11  有运动伪影和无运动伪影时聚氯乙烯的光强图像
运动伪影 DM DSD tM tSD bM bSD
有 0.628 8 0.249 3 0.273 4 0.194 3 0.791 3 0.257 2
无 0.027 5 0.013 0 0.027 9 0.014 8 0.992 0 0.0195
表 1  有运动伪影和无运动伪影时聚氯乙烯偏振参数的均值和标准差表
图 12  在不同对焦情况下2种偏振参数值的分布图
1 周倩, 章海波, 李远, 等 海岸环境中微塑料污染及其生态效应研究进展[J]. 科学通报, 2015, 60 (33): 3210- 3220
ZHOU Qian, ZHANG Hai-bo, LI Yuan, et al Progress on microplastics pollution and its ecological effects in the coastal environment[J]. Chinese Science Bulletin, 2015, 60 (33): 3210- 3220
doi: 10.1360/N972015-00714
2 ROCHMAN C M Microplastics research: from sink to source[J]. Science, 2018, 360 (6384): 28- 29
doi: 10.1126/science.aar7734
3 ZHANG K, SHI H, PENG J, et al Microplastic pollution in China's inland water systems: a review of findings, methods, characteristics, effects, and management[J]. Science of the Total Environment, 2018, 630: 1641- 1653
doi: 10.1016/j.scitotenv.2018.02.300
4 GOJKOVIC Z, SKROBONJA A, FUNK C, et al The role of microalgae in the biogeochemical cycling of methylmercury (MeHg) in aquatic environments[J]. Phycology, 2022, 2 (3): 344- 362
doi: 10.3390/phycology2030019
5 李雪静, 张璐瑶, 乔明, 等 藻类生物燃料研究开发进展[J]. 中外能源, 2009, 14 (4): 23- 26
LI Xue-jing, ZHANG Lu-yao, QIAO Ming, et al Progress in algae biofuel research and development[J]. Sino-Global Energy, 2009, 14 (4): 23- 26
6 孔繁翔, 马荣华, 高俊峰, 等 太湖蓝藻水华的预防、预测和预警的理论与实践[J]. 湖泊科学, 2009, 21 (3): 314- 328
KONG Fan-xiang, MA Rong-hua, GAO Jun-feng, et al The theory and practice of prevention, forecast and warning on cyanobacteria bloom in Lake Taihu[J]. Journal of Lake Sciences, 2009, 21 (3): 314- 328
doi: 10.3321/j.issn:1003-5427.2009.03.002
7 王建立, 刘欣悦 智能光学的概念及发展[J]. 中国光学, 2013, 6 (4): 437- 448
WANG Jian-li, LIU Xin-yue Concept and development of smart optics[J]. Chinese Optics, 2013, 6 (4): 437- 448
8 葛宝臻, 李文超, 马云峰, 等 基于四象限探测的激光粒度仪自动对中技术[J]. 光学精密工程, 2010, 18 (11): 2384- 2389
GE Bao-zhen, LI Wen-chao, MA Yun-feng, et al Automatic centering of laser partical size analyzers based on four-quadrant construction[J]. Optics and Precision Engineering, 2010, 18 (11): 2384- 2389
9 DE CARVALHO L A S, BARBOSA C C F, DE MORAES NOVO E M, et al Implications of scatter corrections for absorption measurements on optical closure of Amazon floodplain lakes using the spectral absorption and attenuation meter (AC-S-WETLabs)[J]. Remote Sensing of Environment, 2015, 157: 123- 137
doi: 10.1016/j.rse.2014.06.018
10 BRIGHT C, MAGER S, HORTON S Response of nephelometric turbidity to hydrodynamic particle size of fine suspended sediment[J]. International Journal of Sediment Research, 2020, 35 (5): 444- 454
doi: 10.1016/j.ijsrc.2020.03.006
11 王义强, 林方睿, 胡睿, 等 大视场光学显微成像技术[J]. 中国光学, 2022, 15 (6): 1194- 1210
WANG Yi-qiang, LIN Fang-rui, HU Rui, et al Large field-of-view optical microscopic imaging technology[J]. Chinese Optics, 2022, 15 (6): 1194- 1210
12 LI X, LIAO R, ZHOU J, et al Classification of morphologically similar algae and cyanobacteria using Mueller matrix imaging and convolutional neural networks[J]. Applied Optics, 2017, 56 (23): 6520- 6530
doi: 10.1364/AO.56.006520
13 孙军, 宋煜尧, 刘海娇 海洋浮游植物快速鉴定与监测技术[J]. 海洋科学进展, 2022, 40 (4): 701- 716
SUN Jun, SONG Yu-yao, LIU Hai-jiao State-of-the-art rapid identification and monitoring techniques for marine phytoplankton[J]. Advances in Marine Science, 2022, 40 (4): 701- 716
14 ADAN A, ALIZADA G, KIRAZ Y, et al Flow cytometry: basic principles and applications[J]. Critical Reviews in Biotechnology, 2017, 37 (2): 163- 176
doi: 10.3109/07388551.2015.1128876
15 DASHKOVA V, MALASHENKOV D, POULTON N, et al Imaging flow cytometry for phytoplankton analysis[J]. Methods, 2017, 112: 188- 200
doi: 10.1016/j.ymeth.2016.05.007
16 罗海波, 张俊超, 盖兴琴, 等 偏振成像技术的发展现状与展望(特邀)[J]. 红外与激光工程, 2022, 51 (1): 20210987
LUO Hai-bo, ZHANG Jun-chao, GAI Xing-qin, et al Development status and prospects of polarization imaging technology (Invited)[J]. Infrared and Laser Engineering, 2022, 51 (1): 20210987
17 HUANG T, MENG R, QI J, et al Fast Mueller matrix microscope based on dual DoFP polarimeters[J]. Optics Letters, 2021, 46 (7): 1676- 1679
doi: 10.1364/OL.421394
18 PIERANGELO A, NAZAC A, BENALI A, et al Polarimetric imaging of uterine cervix: a case study[J]. Optics Express, 2013, 21 (12): 14120- 14130
doi: 10.1364/OE.21.014120
19 LIU Z, LIAO R, WAN J, et al Polarization staining and high-throughput detection of marine microalgae using single cell average Mueller matrices[J]. Optik, 2019, 180: 84- 90
doi: 10.1016/j.ijleo.2018.11.076
20 董洋, 张冯頔, 姚悦, 等 基于全偏振成像的数字病理方法[J]. 中国科学: 生命科学, 2023, 53 (4): 480- 504
DONG Yang, ZHANG Feng-di, YAO Yue, et al Mueller microscopy for digital pathology[J]. Scientia Sinica Vitae, 2023, 53 (4): 480- 504
doi: 10.1360/SSV-2021-0412
21 李嘉晋, 廖然, 马辉 海洋颗粒物的原位细致分类、应用与展望[J]. 光学学报, 2022, 42 (6): 0600005
LI Jia-jin, LIAO Ran, MA Hui In situ fine classification, application, and expectation of marine particles [J]. Acta Optica Sinica, 2022, 42 (6): 0600005
22 LU S, CHIPMAN R A Interpretation of Mueller matrices based on polar decomposition[J]. Journal of Optical Society of America A, 1996, 13 (5): 1106- 1113
doi: 10.1364/JOSAA.13.001106
23 HE H, CHANG J, HE C, et al. Transformation of full 4×4 Mueller matrices: a quantitative technique for biomedical diagnosis [J]. Dynamics and Fluctuations in Biomedical Photonics XIII. San Francisco: [s.n.], 2016. .
24 HE H, ZENG N, DU E, et al A possible quantitative Mueller matrix transformation technique for anisotropic scattering media[J]. Photonics and Lasers in Medicine, 2013, 2 (2): 129- 137
25 黄彤宇, 孟若愚, 赵千皓, 等 模块化全偏振显微镜[J]. 中国激光, 2021, 48 (15): 1517002
HUANG Tong-yu, MENG Ruo-yu, ZHAO Qian-hao, et al Modular full-polarization microscope[J]. Chinese Journal of Lasers, 2021, 48 (15): 1517002
doi: 10.3788/CJL202148.1517002
26 CHANG J, HE H, WANG Y, et al Division of focal plane polarimeter-based 3×4 Mueller matrix microscope: a potential tool for quick diagnosis of human carcinoma tissues[J]. Journal of Biomedical Optics, 2016, 21 (5): 56002
doi: 10.1117/1.JBO.21.5.056002
27 徐沛, 彭谷雨, 朱礼鑫, 等 长江口微塑料时空分布及风险评价[J]. 中国环境科学, 2019, 39 (5): 2071- 2077
XU Pei, PENG Gu-yu, ZHU Li-xin, et al Spatial-temporal distribution and pollution load of microplastics in the Changjiang Estuary[J]. China Environmental Science, 2019, 39 (5): 2071- 2077
doi: 10.3969/j.issn.1000-6923.2019.05.035
28 聂昌亮. 多芒藻高效生长, 油脂积累及其处理校园生活污水的优化研究[D]. 济南: 山东大学, 2020
NIE Chang-liang. Optimizing grouth, lipid synthesis and campus domestic sewage treatment for Golenkinia SDEC-16 [D]. Jinan: Shandong University, 2020.
29 谢传晓, 韩伟, 余增亮 模式生物衣藻及其研究进展[J]. 遗传, 2003, 25 (3): 350- 354
XIE Chuan-xiao, HAN wei, YU Zeng-liang Progress of Chlamydomonas as a model organism [J]. Hereditas, 2003, 25 (3): 350- 354
doi: 10.3321/j.issn:0253-9772.2003.03.027
30 ZHANG D, ZHANG W, HUANG W, et al Upscaling of surface soil moisture using a deep learning model with VIIRS RDR[J]. ISPRS International Journal of Geo-Information, 2017, 6 (5): 130
doi: 10.3390/ijgi6050130
31 沈元星, 姚悦, 何宏辉, 等 非标记、定量化穆勒矩阵偏振成像在辅助临床诊断中的应用[J]. 中国激光, 2020, 47 (2): 0207001
SHEN Yuan-xing, YAO Yue, HE Hong-hui, et al Mueller matrix polarimetry: a label-free, quantitative optical method for clinical diagnosis[J]. Chinese Journal of Lasers, 2020, 47 (2): 0207001
doi: 10.3788/CJL202047.0207001
32 孔英会, 景美丽 基于混淆矩阵和集成学习的分类方法研究[J]. 计算机工程与科学, 2012, 34 (6): 111- 117
KONG Ying-hui, JING Mei-li Research of the classification method based on confusion matrixes and ensemble learning[J]. Computer Engineering and Science, 2012, 34 (6): 111- 117
[1] 程军,刘建峰,张曦,张泽,田江磊,周俊虎,岑可法. 微藻水热提取油脂经脱氧断键制航油[J]. 浙江大学学报(工学版), 2019, 53(2): 214-219.
[2] 罗龙皂, 邵瑜, 田光明. 基于微藻培养的养猪废水氨氮吹脱预处理[J]. 浙江大学学报(工学版), 2017, 51(10): 2055-2060.
[3] 程军,庄良,黄云, 孙晶,周俊虎,岑可法. 平板式微藻光反应器的流场优化及闪光效应[J]. J4, 2013, 47(11): 1958-1963.