3D quantitative phase imaging of human red blood cells

Anusha Pillai; Saritha Kamath U; Sushma Belurkar; Anand K. Asundi; Ajeetkumar Patil

doi:10.1117/12.3023411

15 February 2024 3D quantitative phase imaging of human red blood cells

Anusha Pillai, Saritha Kamath U, Sushma Belurkar, Anand K. Asundi, Ajeetkumar Patil

Author Affiliations +

Proceedings Volume 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023); 130690P (2024) https://doi.org/10.1117/12.3023411
Event: International Conference on Optical and Photonic Engineering (icOPEN 2023), 2023, Singapore, Singapore

Abstract

RBCs are essential for carrying oxygen throughout the body. Maintaining human health requires an understanding of the various RBC types, their structural defects, and the difficulties in identifying these abnormalities. RBCs are commonly divided into sickle cells, regular disc-shaped erythrocytes, and other physical variations. Hemoglobinopathies including sickle cell disease, thalassemia, and genetic spherocytosis, as well as acquired syndromes like anemia, which can be brought on by dietary shortages or long-term illnesses, are only a few examples of the wide range of RBC abnormalities. Advanced imaging techniques are necessary for identifying and characterizing these anomalies. Label-free, non-invasive, and high-resolution imaging of RBCs is made possible by QPI techniques like the Transport of Intensity Equation (TIE). In our work, with the use of TIE-based 3D QPI, we have extracted quantitative features like cell volume, cell height and cell surface area of human RBCs from the captured images. This method enables characterization that is more accurate and diagnosis of diseases by providing insights into the structural modifications linked to RBC abnormalities

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Anusha Pillai, Saritha Kamath U, Sushma Belurkar, Anand K. Asundi, and Ajeetkumar Patil "3D quantitative phase imaging of human red blood cells", Proc. SPIE 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023), 130690P (15 February 2024); https://doi.org/10.1117/12.3023411

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KEYWORDS

Red blood cells

3D image processing

Phase imaging

Biological samples

Polystyrene

Diseases and disorders

Biological imaging

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