Title

New phase unwrapping approach in digital holographic microscopy with deep learning

DGIST Authors

Hwang, Seunghyeon ; Moon, Inkyu ; Park, Sanghyun

Advisor

문인규

Co-Advisor(s)

Sanghyun Park

Issued Date

2020

Awarded Date

2020-02

Citation

Seunghyeon Hwang. (2020). New phase unwrapping approach in digital holographic microscopy with deep learning. doi: 10.22677/Theses.200000285033

Type

Thesis

Description

Digital holography microscopy, Phase unwrapping, Deep learning, Generative adversarial network.

Table Of Contents

Ⅰ. INTRODUCTION 1
1.1 Introduction 1
1.2 Related works 5
Ⅱ. Digital holographic microscopy 6
2.1 Label-free off-axis digital holographic imaging 6
Ⅲ. Method 9
3.1 Generation of dataset 9
3.2 Model Architecture 11
3.3 Objective function 13
3.4 Implementation Details 13
Ⅳ. Results 14
4.1 Experimental results 14
4.2 Performance of model for cells of the same and different type as training data 14
4.3 Performance of wrapped phase images with unfocused cells 15
4.4 Unwrapping time with QG, LS, TIE and the proposed model 17
Ⅴ. DISCUSSION AND CONCLUSION 18
5.1 Conclusion 18
Ⅵ. Acknowledgment 18

URI

http://dgist.dcollection.net/common/orgView/200000285033
http://hdl.handle.net/20.500.11750/11976

DOI

10.22677/Theses.200000285033

Degree

Master

Department

Robotics Engineering

Publisher

DGIST

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