DeconvTest: Simulation framework for quantifying errors and selecting optimal parameters of image deconvolution-Reference-Cited by-同舟云学术

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DeconvTest: Simulation framework for quantifying errors and selecting optimal parameters of image deconvolution

Published:2020-02-03 Issue:4 Volume:13 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Medyukhina Anna¹²,Figge Marc Thilo¹³^ORCID

Affiliation:

1. Applied Systems BiologyLeibniz Institute for Natural Product Research and Infection Biology, Hans‐Knöll‐Institute Jena Germany

2. Center for Bioimage InformaticsSt. Jude Children's Research Hospital Memphis TN

3. Institute of MicrobiologyFaculty of Biological Sciences, Friedrich‐Schiller‐University Jena Jena Germany

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.201960079

Reference12 articles.

1. Deconvolution methods for 3-D fluorescence microscopy images

2. Generation of digital phantoms of cell nuclei and simulation of image formation in 3D image cytometry

3. CytoPacq: a web-interface for simulating multi-dimensional cell imaging

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1. Guided-deconvolution for correlative light and electron microscopy;PLOS ONE;2023-03-09

2. Analysis of HDACi-Coupled Nanoparticles: Opportunities and Challenges;Methods in Molecular Biology;2022-10-19

3. An LED-Based structured illumination microscope using a digital micromirror device and GPU accelerated image reconstruction;PLOS ONE;2022-09-09

4. Review of cell image synthesis for image processing;Biomedical Image Synthesis and Simulation;2022

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