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Information on the principal investigator and host institution

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[inPHASE] Inference algorithms for fringe pattern based quantitative phase imaging

2021/41/N/ST7/04057

Keywords:

inference algorithms deep learning convolutional neural networks interference microscopy computational imaging Bayesian inference

Descriptors:

  • ST7_11: Electronic, optoelectronic and photonic components and systems for applications (e.g. in biomedical engineering)
  • ST7_5: Micro- and nanelectronic, optoelectronic and photonic components

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Politechnika Warszawska, Wydział Mechatroniki

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Maria Cywińska 

Number of co-investigators in the project: 2

Call: PRELUDIUM 20 - announced on 2021-03-15

Amount awarded: 139 568 PLN

Project start date (Y-m-d): 2022-01-04

Project end date (Y-m-d): 2025-01-03

Project duration:: 36 months (the same as in the proposal)

Project status: Project completed

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  1. DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration
    Authors:
    Maria Cywińska, Konstanty Szumigaj, Michał Kołodziej, Krzysztof Patorski, Vicente Mico, Shijie Feng, Chao Zuo, Maciej Trusiak
    Academic press:
    Journal of Optics (rok: 2023, tom: 25, strony: 045702+16), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/2040-8986/acb3df - link to the publication
  2. DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration
    Authors:
    Maria Cywińska, Konstanty Szumigaj, Michał Kołodziej, Krzysztof Patorski, Vicente Mico, Shijie Feng, Chao Zuo, Maciej Trusiak
    Academic press:
    Journal of Optics (rok: 2023, tom: 25, strony: 045702+16), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/2040-8986/acb3df - link to the publication
  3. DeepOrientation: convolutional neural network for fringe pattern orientation map estimation
    Authors:
    Maria Cywińska, Mikołaj Rogalski, Filip Brzeski, Krzysztof Patorski, Maciej Trusiak
    Academic press:
    Optics Express (rok: 2022, tom: 30, strony: 42283-42298), Wydawca: Optica Publishing Group
    Status:
    Published
    DOI:
    10.1364/OE.465094 - link to the publication
  4. DeepOrientation: convolutional neural network for fringe pattern orientation map estimation
    Authors:
    Maria Cywińska, Mikołaj Rogalski, Filip Brzeski, Krzysztof Patorski, Maciej Trusiak
    Academic press:
    Optics Express (rok: 2022, tom: 30, strony: 42283-42298), Wydawca: Optica Publishing Group
    Status:
    Published
    DOI:
    10.1364/OE.465094 - link to the publication

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