Statistical estimation theory detection limits for label-free imaging Article Swipe
Lang Wang
,
Maxine Xii
,
Ali Pezeshki
,
Randy A. Bartels
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2405.04334
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2405.04334
The emergence of label-free microscopy techniques has significantly improved our ability to precisely characterize biochemical targets, enabling non-invasive visualization of cellular organelles and tissue organization. Each label-free method has specific benefits, drawbacks, and varied varied sensitivity under measurement conditions across different types of specimens. To link all these disparate label-free optical interactions together and to compare detection sensitivity of these modalities, we investigate their sensitivity within the framework of statistical estimation theory. This paper introduces a comprehensive unified framework for evaluating the bounds for signal detection with label-free microscopy methods, including second harmonic generation (SHG), third harmonic generation (THG), coherent anti-Stokes Raman scattering (CARS), coherent Stokes Raman scattering (CSRS), stimulated Raman loss (SRL), stimulated Raman gain (SRG), stimulated emission (SE), impulsive stimulated Raman scattering (ISRS), transient absorption (TA), and photothermal effect (PTE). A general model for signal generation induced by optical scattering is developed. Based on this model, the information obtained is quantitatively analyzed using Fisher information, and the fundamental constraints on estimation precision are evaluated through the Cramér-Rao Lower Bound (CRLB).
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2405.04334
- https://arxiv.org/pdf/2405.04334
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396814710
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Raw OpenAlex JSON
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https://openalex.org/W4396814710Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2405.04334Digital Object Identifier
- Title
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Statistical estimation theory detection limits for label-free imagingWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-07Full publication date if available
- Authors
-
Lang Wang, Maxine Xii, Ali Pezeshki, Randy A. BartelsList of authors in order
- Landing page
-
https://arxiv.org/abs/2405.04334Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2405.04334Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2405.04334Direct OA link when available
- Concepts
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Estimation, Computer science, Statistical theory, Artificial intelligence, Statistics, Pattern recognition (psychology), Mathematics, Engineering, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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