Simultaneous determination of size and refractive index of red blood cells by light scattering measurements

Buddhiwant, P.; Ghosh, Nirmalya; Uppal, Abha; Majumder, Shovan K.; Patel, H. S.; Gupta, PK

doi:10.1109/cleo.2005.202202

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2015

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“…R and r are also known as the "major radius" and "minor radius", respectively. The surface area and interior volume of torus are easily computed using Pappus's centroid theorem Eqs (2), (3). Volumes of particles belonging to a sample may vary considerably.…”

Section: Methodsmentioning

confidence: 99%

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Detection of hypochromic anemia in blood sample microscopic images using adaptive network-based fuzzy inference system

Khameneh

Arabalibeik

Setayeshi

2015

JCM

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Volume of red blood cell is an important factor in distinguishing its abnormalities. Mean corpuscular volume (MCV) of red blood cells contributes much to differentiation of several blood diseases like iron deficiency and other types of anemia. This paper proposes an automated system to classify blood samples using cell microscopic images instead of pathology test results. Adaptive local thresholding is first used to segment cell images. The volumes of red cells are then estimated by assuming torus geometry for cells. Finally, an adaptive network-based fuzzy inference system (ANFIS) is used to classify blood samples to normal and abnormal. Accuracy of the proposed system and area under Receiver Operating Characteristics (ROC) curve are 100% and 1 respectively.

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Section: Methodsmentioning

confidence: 99%

“…Buddhiwant and his colleagues used an approach based on fast Fourier transform for simultaneous determination of size and refractive index of a collection of red blood cells from the measured angular distribution of scattered light [3]. These methods need special apparatus.…”

Section: Introductionmentioning

confidence: 99%