Sensitivity fields and parameter estimation from dielectric objects

The quantitative phase image formation process is posed as a problem of parameter estimation from intensity measurements. This approach is inclusive of traditional pixel-oriented imaging, where the sought parameters are the pixel values. The resulting optimization process to find the parameters is then seen to depend on the sensitivity field: this is the gradient of the scattered field with respect to the parameters, and it turns out to obey a scattering relationship that is analogous to that of the original scattered field. Examples are given from several regimes of scattering strength.

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Publication Details

Journal
Journal of the Optical Society of America A
Published
2024-10-17
DOI
https://doi.org/10.1364/josaa.534501
Citations
2
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
0.68

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article

Sensitivity fields and parameter estimation from dielectric objects

George Barbastathis
2 citations
Journal of the Optical Society of America A
Digital Holography and Microscopy
0.68
article

Sensitivity fields and parameter estimation from dielectric objects

George Barbastathis
article en
2 citations

Abstract

The quantitative phase image formation process is posed as a problem of parameter estimation from intensity measurements. This approach is inclusive of traditional pixel-oriented imaging, where the sought parameters are the pixel values. The resulting optimization process to find the parameters is then seen to depend on the sensitivity field: this is the gradient of the scattered field with respect to the parameters, and it turns out to obey a scattering relationship that is analogous to that of the original scattered field. Examples are given from several regimes of scattering strength.

Journal of the Optical Society of America AVol. 41(11)
Massachusetts Institute of Technology (US)
National Research Foundation Singapore, Air Force Office of Scientific Research
Openalex Percentile: Top 30%
Digital Holography and Microscopy
0.68
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