浮游藻类细胞微流控-显微图像形变校正方法

胡翔; 殷高方; 赵南京; 何前锋; 梁天泓; 黄朋; 徐敏; 贾仁庆

doi:10.37188/CO.2022-0244

Volume 16 Issue 4

Jul. 2023

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Article Contents

Chinese Optics > 2023 > 16(4): 788-795.

HU Xiang, YIN Gao-fang, ZHAO Nan-jing, HE Qian-feng, LIANG Tian-hong, HUANG Peng, Xu Min, JIA Ren-qing. Microfluidic-microscopic image deformation correction method for planktonic algal cells[J]. Chinese Optics, 2023, 16(4): 788-795. doi: 10.37188/CO.2022-0244

Citation:

HU Xiang, YIN Gao-fang, ZHAO Nan-jing, HE Qian-feng, LIANG Tian-hong, HUANG Peng, Xu Min, JIA Ren-qing. Microfluidic-microscopic image deformation correction method for planktonic algal cells[J]. Chinese Optics, 2023, 16(4): 788-795. doi: 10.37188/CO.2022-0244

Citation:

HU Xiang, YIN Gao-fang, ZHAO Nan-jing, HE Qian-feng, LIANG Tian-hong, HUANG Peng, Xu Min, JIA Ren-qing. Microfluidic-microscopic image deformation correction method for planktonic algal cells[J]. Chinese Optics, 2023, 16(4): 788-795. doi: 10.37188/CO.2022-0244

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Microfluidic-microscopic image deformation correction method for planktonic algal cells

doi: 10.37188/CO.2022-0244

HU Xiang^{1, 2
,},
YIN Gao-fang^{1, 2, 3
,
,},
ZHAO Nan-jing^{1, 2, 3, 4
,
,},
HE Qian-feng⁵,
LIANG Tian-hong^{2, 3},
HUANG Peng^{1, 2},
Xu Min^{2, 3},
JIA Ren-qing^{2, 3}

1.
College of Biology, Hefei University, Hefei 230601, China
2.
Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
3.
University of Science and Technology of China, Hefei 230026, China
4.
Anhui University, Hefei 230601, China
5.
Anhui Hefei Ecological Environment Monitoring Center, Hefei 230088, China

Funds: Supported by Anhui Province Science and Technology Major Special Project (No. 202203a07020002, No. 202003a07020007)；National key research and development program (No. 2022YFC3103901, No. 2021YFC3200100)；the National Natural Science Foundation of China (No. 61875207); Shenzhen Sustainable Development Science and Technology Project (No. KCXFZ20201221173007020)

More Information

Corresponding author: gfyin@aiofm.ac.cn; njzhao@aiofm.ac.cn
Received Date: 28 Nov 2022
Rev Recd Date: 06 Jan 2023
Accepted Date: 24 Feb 2023

Available Online: 21 Mar 2023

Abstract

Abstract

Flow cytomicrographic analysis is an important development in the automatic identification of planktonic algae in a water column, but the accuracy of this process is affected by the deformation of microscopic images under rapid injection conditions. Based on a microfluidic-microscopic imaging system for planktonic algae, the effects of flow rate on the deformation of microscopic images were investigated by analyzing the deformation of algal cells and image clarity at different injection flow rates. Based on the principle of deformation caused by photographing a moving object using a rolling shutter, a method of image deformation correction with unidirectional offset pixels is proposed and analyzed by comparing its results with images acquired under static conditions of algal cells. The experimental results showed that the average aspect ratio and sharpness of L values for oocystis cell images under static conditions were 1.16 and 116.53, respectively; during the dynamic injection process, the deformation (aspect ratio) of the cell images gradually increased and the sharpness decreased as the flow rate increased; the average values of aspect ratio before and after correction were 1.35 and 1.26 respectively at 95µL/min injection flow rate, and the dispersion of deformation decreased from 0.33 before correction to 0.1. The results are close to that of static cell morphology and the image sharpness is basically same. The results provide a method for improving the accuracy of the automatic identification of planktonic algal cells in a water column.
- planktonic algal,
- microfluidics-microscopic imaging,
- image deformation,
- correction method

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References(14)

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