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Literature DB >> 15049868

Quantitative phase-amplitude microscopy. III. The effects of noise.

D Paganin¹, A Barty, P J McMahon, K A Nugent.

Abstract

We explore the effect of noise on images obtained using quantitative phase-amplitude microscopy - a new microscopy technique based on the determination of phase from the intensity evolution of propagating radiation. We compare the predictions with experimental results and also propose an approach that allows good-quality quantitative phase retrieval to be obtained even for very noisy data.

Mesh：

Year: 2004 PMID： 15049868 DOI： 10.1111/j.0022-2720.2004.01295.x

Source DB: PubMed Journal: J Microsc ISSN： 0022-2720 Impact factor: 1.758

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Cited

9 in total

1. Quantitative phase microscopy: a new tool for measurement of cell culture growth and confluency in situ.

Authors: Claire L Curl; Trudi Harris; Peter J Harris; Brendan E Allman; Catherine J Bellair; Alastair G Stewart; Lea M D Delbridge
Journal: Pflugers Arch Date: 2004-02-17 Impact factor: 3.657

2. Comparative phase imaging of live cells by digital holographic microscopy and transport of intensity equation methods.

Authors: Jeremy M Wittkopp; Ting Chean Khoo; Shane Carney; Kai Pisila; Shahab J Bahreini; Kate Tubbesing; Supriya Mahajan; Anna Sharikova; Jonathan C Petruccelli; Alexander Khmaladze
Journal: Opt Express Date: 2020-03-02 Impact factor: 3.894

3. Analysis of ideal observer signal detectability in phase-contrast imaging employing linear shift-invariant optical systems.

Authors: Mark A Anastasio; Cheng-Ying Chou; Adam M Zysk; Jovan G Brankov
Journal: J Opt Soc Am A Opt Image Sci Vis Date: 2010-12-01 Impact factor: 2.129

Quantitative phase-amplitude microscopy. III. The effects of noise.

1. Quantitative phase microscopy: a new tool for measurement of cell culture growth and confluency in situ.

2. Comparative phase imaging of live cells by digital holographic microscopy and transport of intensity equation methods.

3. Analysis of ideal observer signal detectability in phase-contrast imaging employing linear shift-invariant optical systems.

4. Sparsity-based multi-height phase recovery in holographic microscopy.

5. CT dose reduction factors in the thousands using X-ray phase contrast.

6. High-resolution transport-of-intensity quantitative phase microscopy with annular illumination.

7. Optical fiber bundles: Ultra-slim light field imaging probes.

8. Phase recovery and holographic image reconstruction using deep learning in neural networks.

Review 9. 3D Imaging Based on Depth Measurement Technologies.