Use of angular distribution of differential photoacoustic cross-section data for estimating source size

Kaushik, Anuj; Sonker, Deepak; Saha, Ratan K.

doi:10.1117/12.2526991

Cited by 3 publications

References 8 publications

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Characterization of normal and deformed red blood cells using simulated differential photoacoustic cross-section spectral data

Kaushik¹,

Saha²

2021

J. Phys. Commun.

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Frequency dependent differential photoacoustic cross-section (DPACS) over a large frequency band (100–1000 MHz) has been computed and subsequently, morphological parameters of photoacoustic (PA) source have been quantified. Green’s function method has been employed for computing the DPACS for a series of ellipsoidal droplets (with varying aspect ratio), Chebyshev particles (with different waviness (n) and deformation (ϵ) parameters), healthy red blood cell (RBC) and cells suffering from hereditary disorders (spherocytosis, elliptocytosis and stomatocytosis). The tri-axial ellipsoid form factor (TAEFF), finite cylinder form factor (CFF) and toroid form factor (TFF) models have been used to fit the DPACS spectrum to obtain size and shape information of the PA source. The TAEFF model estimates the shape parameters of the ellipsoidal droplets accurately (error < 5%). It is found that volume estimation is better (error < 10%) for lower order (n = 2, ϵ = ± 0.25) and very higher order (n = 35, 45, ϵ = ± 0.05) Chebyshev particles compared to those of n = 4, 6 and ϵ = ± 0.25. The TAEFF model predicts shape parameters of stomatocyte with volume error ≈15% but it is ≤6% for other cells. The opposite trend is observed for the CFF model. The TFF model is able to estimate the shape parameters efficiently for normal erythrocyte and stomatocyte but gives relatively large errors (>15%) for other deformed RBCs. The inverse problem framework may motivate to develop a PA-based technology to assess single cell morphology.

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Characterization of normal and deformed red blood cells using simulated differential photoacoustic cross-section spectral data

Kaushik¹,

Saha²

2021

J. Phys. Commun.

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Exploring High Frequency Photoacoustic Method for Characterization of Pathological Red Blood Cells

Kaushik

Prakash

Saha

2019

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)

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Systematic analysis of frequency dependent differential photoacoustic cross-section data for source size estimation

2020

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A frequency dependent differential photoacoustic cross-section (DPACS) over a large frequency band (100–1000 MHz) was computed, and subsequently, morphological parameters of a photoacoustic (PA) source were quantified. The Green’s function approach was utilized for calculating the DPACS for spheroidal droplets with varying aspect ratios, Chebyshev particles with different waviness and deformation parameters, and normal red blood cells and cells affected by hereditary disorders (e.g., spherocytosis, elliptocytosis, and stomatocytosis). The theoretical framework considers that PA waves propagate through an acoustically dispersive and absorbing medium and are detected by a planar detector of finite size. The frequency dependent DPACS profile was fitted with tri-axial ellipsoid, finite cylinder, and toroid form factor models to obtain size and shape information of the PA source. The tri-axial ellipsoid form factor model was found to provide better estimates of the shape parameters compared to other models for a variety of sources. The inverse problem framework may motivate developing PA-based technology to assess single-cell morphology.

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Use of angular distribution of differential photoacoustic cross-section data for estimating source size

Cited by 3 publications

References 8 publications

Characterization of normal and deformed red blood cells using simulated differential photoacoustic cross-section spectral data

Characterization of normal and deformed red blood cells using simulated differential photoacoustic cross-section spectral data

Exploring High Frequency Photoacoustic Method for Characterization of Pathological Red Blood Cells

Systematic analysis of frequency dependent differential photoacoustic cross-section data for source size estimation

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