Chinese Optics, Volume. 16, Issue 4, 788(2023)

Microfluidic-microscopic image deformation correction method for planktonic algal cells

Xiang HU1,2, Gao-fang YIN1,2,3、*, Nan-jing ZHAO1,2,3,4、*, Qian-feng HE5, Tian-hong LIANG2,3, Peng HUANG1,2, Min Xu2,3, and Ren-qing JIA2,3
Author Affiliations
  • 1College of Biology, Hefei University, Hefei 230601, China
  • 2Key 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
  • 3University of Science and Technology of China, Hefei 230026, China
  • 4Anhui University, Hefei 230601, China
  • 5Anhui Hefei Ecological Environment Monitoring Center, Hefei 230088, China
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    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.

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

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    Paper Information

    Category: Original Article

    Received: Nov. 28, 2022

    Accepted: Feb. 24, 2023

    Published Online: Jul. 27, 2023

    The Author Email:

    DOI:10.37188/CO.2022-0244

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