Phase shifted-lateral shearing digital holographic microscopy imaging for early diagnosis of cysts in soft tissue-mimicking phantom

Onur, Tuğba Özge; Kaya, Gulhan Ustabas; Kaya, Ceren

doi:10.1007/s00340-021-07607-8

Cited by 2 publications

(3 citation statements)

References 33 publications

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“…They aimed to increase the system stability, adjust the setup alignment and reduce the mechanical and unwanted vibrations. They also imaged the tissue-mimicking phantom manufactured using agar powder and distilled water [14]. Although Onur et al used the LSDHM system for the production of mimicking phantoms for the first time, they used the phase-shifting technique for image reconstruction.…”

Section: Resultsmentioning

confidence: 99%

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Application of Binary Genetic Algorithm for Holographic Vascular Mimicking Phantom Reconstruction

Onur

Kaya

2022

Balkan Journal of Electrical and Computer Engineering

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She received her MSc and PhD degrees in Electrical-Electronics Engineering from Zonguldak Bülent Ecevit University in 2013 and 2019, respectively. Her interest fields are in the development of novel techniques and applications in digital holography, interferometry, microscopy, photonics, signal and image processing, data mining and machine learning. She has published papers in the field of optics, signal processing and machine learning applications. She is also an OSA member.

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Section: Resultsmentioning

confidence: 99%

“…The phantoms used in this study are generated with agar gel [14]. To mimic the human vascular system, grass and white balloon filled with water are used for the generated phantoms.…”

Section: A Preparation Of Phantom Samplesmentioning

confidence: 99%

Application of Binary Genetic Algorithm for Holographic Vascular Mimicking Phantom Reconstruction

Onur

Kaya

2022

Balkan Journal of Electrical and Computer Engineering

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“…The proposed setup for imaging is shown in Figure 2 [28]. This setup is based on lateral shearing digital holographic microscopy, which is derived from the configuration of self-referencing.…”

Section: Imaging Setupmentioning

confidence: 99%

Evaluation of Image Reconstruction Using Binary Genetic Algorithm and Unwrapping in Digital Holography

Onur¹,

Kaya²

2021

El-Cezeri Fen Ve Mühendislik Dergisi

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Image reconstruction is a fundamental task of image processing and images are desired to be reconstructed with the lowest noise and most accuracy possible. Digital holography is one of the image reconstruction methods that uses Fast Fourier Transform (FFT) as a common tool. However, several iterative methods such as genetic algorithm (GA) can be used to decrease the noise or optimize the digital hologram in the reconstruction process for digital holography. In this paper, we propose an image reconstruction task that is performed by using a binary genetic algorithm (BGA) in digital holography. In this scheme, the image of a glassmade star object is reconstructed both originally and also by using BGA to find a similar solution to the originally reconstructed one. The unwrapping effect in the reconstructed image is also evaluated by using two different methods that are Goldenstein's and Quality guided path-following techniques. The results indicate that since BGA provides a solution with higher similarity to the originally reconstructed one, it can be considered as an alternative to the common reconstruction process in digital holography. Besides, since a 3-dimensional (3D) image with phase information is obtained by unwrapping techniques, it provides to have better quality images.

show abstract

Phase shifted-lateral shearing digital holographic microscopy imaging for early diagnosis of cysts in soft tissue-mimicking phantom

Cited by 2 publications

References 33 publications

Application of Binary Genetic Algorithm for Holographic Vascular Mimicking Phantom Reconstruction

Application of Binary Genetic Algorithm for Holographic Vascular Mimicking Phantom Reconstruction

Evaluation of Image Reconstruction Using Binary Genetic Algorithm and Unwrapping in Digital Holography

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