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nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n
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Hari Krishnan G, Sheeba Santhosh, Mohandass G, NMG Kumar, Ram Prasad Reddy M,
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- Associate Professor, Associate Professor, Assistant Professor, Professor, Professor, Department of Electrical and Electronics Engineering, School of Engineering, Mohan Babu University, Tirupati, Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, Department of Biomedical Engineering, GRT Institute of Engineering and Technology, Department of Biomedical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Department of Electrical and Electronics Engineering, Aditya College of Engineering, Madanapalle, Andhra Pradesh, Tamil Nadu, Tamil Nadu, Tamil Nadu, Andhra Pradesh, India, India, India, India, India
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Abstract
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nAccurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, contrast enhancement via CLAHE, edge detection, and Otsu thresholding; overlapping red cells are resolved using a Circular Hough Transform to recover individual instances. The acquisition setup—a compound microscope coupled to a consumer webcam—demonstrates accessibility without specialised haematology analysers. Validation on clinical smear images showed high accuracy and robustness, with automated counts consistent with reference ranges and capable of flagging deviations indicative of anaemia, infection, and platelet abnormalities. Beyond standalone laboratory analysis, we emphasise translation to polymer composite diagnostic devices: robust segmentation and reliable overlapping-cell resolution directly support on-chip quantification, device performance evaluation, and quality control in settings where composite optical and structural properties influence image formation. Overall, the proposed method advances affordable haematology while providing a practical pathway to integrate precise cellular analytics within polymer composite–based point-of-care platforms.
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Keywords: Blood Cell Counting, Image Processing, Overlapping RBC Segmentation, Disease Identification, Polymer Composite Biomedical Devices, Microfluidic Diagnostics.
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Polymer and Composites ]
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nHari Krishnan G, Sheeba Santhosh, Mohandass G, NMG Kumar, Ram Prasad Reddy M. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite-Based Biomedical Diagnostic Devices[/if 2584]. Journal of Polymer and Composites. 15/09/2025; 13(06):-.
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nHari Krishnan G, Sheeba Santhosh, Mohandass G, NMG Kumar, Ram Prasad Reddy M. [if 2584 equals=”][226 striphtml=1][else]Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite-Based Biomedical Diagnostic Devices[/if 2584]. Journal of Polymer and Composites. 15/09/2025; 13(06):-. Available from: https://journals.stmjournals.com/jopc/article=15/09/2025/view=0
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| Volume | 13 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 06 | |
| Received | 26/08/2025 | |
| Accepted | 05/09/2025 | |
| Published | 15/09/2025 | |
| Retracted | ||
| Publication Time | 20 Days |
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