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Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1704))

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Abstract

The VIVID™ GX membrane, is having great significance in clinical testing applications as well as the Lab-on-Chip Plasma Extraction. The designing and optimization of membrane-based devices is still an ongoing challenge for the researchers and direct fabrication and testing is the only option. The VIVID™ GX is the commercially available flat Polysulfone (PS) Plasma Membrane having asymmetric microporous structure, and clear demarcation of the pore boundaries is the key challenge to model the exact morphological details. The earlier modeling techniques still lacks the realization of the random distribution of micropores of this membrane including all possible variability in pore sizes from sub-micron to micron level. In this work we have proposed the procedure for Image Processing and Pattern Recognition of a microporous polymer membrane using MATLAB and COMSOL Multiphysics. We have traced the pore perimeter (contour) for the ‘front’, ‘back’ and ‘cross-section’ of the membrane employing the morphological operations for image processing. The retrieved perimeter pixelart is then employed for modeling the membrane structure in two domains viz. ‘solid content’ and ‘porous content’, for their clear demarcation. The proposed modeling strategy has a great potential in the field of optimization of Plasma Separators and other Microfluidics Lab-On-Chip Devices. We have successfully retrieved the pore range from approx.0.2 µm to 14 µm for the back-side and approx. upto 118 µm for the front-side for the samples under study. The proposed study has illustrated to the point processing and modeling strategy for the randomly distributed pores across the surfaces.

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Acknowledgement

The research work is funded by the DST, Ministry of Science & Technology, Govt. of India, under the Women Scientist-B KIRAN Project Grant (DST/WOS-B/HN-17/2021). The authors express their gratitude to Pall Corporation, Mumbai, India for timely providing Vivid® GX-Membrane. The authors are also thankful to Prof. Sahab Das, Head, Department of Chemistry, Faculty of Science, Dayalbagh Educational Institute (DEI), for providing the FESSEM Lab Facilities and to Dr. Manju Srivastav for assisting with SEM Imaging.

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Authors and Affiliations

  1. Dayalbagh Educational Institute (Deemed-to-Be-University), Dayalbagh, Agra, U.P., India

    Shamima Khatoon & Gufran Ahmad

Authors
  1. Shamima Khatoon
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  2. Gufran Ahmad
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Correspondence to Shamima Khatoon .

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Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    KC Santosh

  2. Texas A&M University, College Station, TX, USA

    Ayush Goyal

  3. University of Luxembourg, Luxembourg, Luxembourg

    Djamila Aouada

  4. University of Derby, Derby, UK

    Aaisha Makkar

  5. University of Minnesota, Minneapolis, MN, USA

    Yao-Yi Chiang

  6. IIIT Allahabad, Allahabad, India

    Satish K Singh

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Khatoon, S., Ahmad, G. (2023). Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood. In: Santosh, K., Goyal, A., Aouada, D., Makkar, A., Chiang, YY., Singh, S.K. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2022. Communications in Computer and Information Science, vol 1704. Springer, Cham. https://doi.org/10.1007/978-3-031-23599-3_11

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  • DOI: https://doi.org/10.1007/978-3-031-23599-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23598-6

  • Online ISBN: 978-3-031-23599-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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