Abstract
The advantages of measuring the volume of a phase object through off-axis quantitative phase imaging include fast acquisition rate, great temporal stability, and high spatial phase sensitivity. However, the accuracy of a measured volume is limited by the different noises of measurement system and finite bandpass filter applied in the phase-extraction algorithm. To improve the accuracy of the volume measurement, it has been recommended to apply an appropriate bandpass filter in the procedure of phase retrieval. An optimum size of bandpass filter can provide better accuracy by passing sample phase information and blocking unwanted noises. The present study introduce a smart method which can provide optimum bandpass filter for each object so that the accuracy of phase volume measurement increases as much as possible. Different type of windows is studied in the phase retrieval procedure and by comparing the results, the Gaussian window function is suggested to be utilized in the smart algorithm. Finally, the feasibility of the method is proved by applying the smart algorithm on our previous experiment results related to quantitative phase imaging on a bead, an optical fiber, and a spherical mirror. The results obtained by the smart algorithm method are in good agreement with the optimum filter obtained by testing different filter sizes.
Highlights
Quantitative phase imaging (QPI) is considered as a substantial method for measuring the volume of phase objects such as biological cells, transparent plates, optical fibers, and microparticles
Despite the several advantages of the methods such as fast acquisition rate, great temporal stability, and high spatial phase sensitivity [6,7,8], they suffer from the various sources of errors which lead to a decrease in measurement accuracy like out-of-focusing [9, 10], speckles and shot noises [11, 12], and point spread function of system [13]
In this paper we introduce a smart algorithm which can automatically adjust the size of band pass filter in order to minimize the error of phase volume measurement
Summary
Quantitative phase imaging (QPI) is considered as a substantial method for measuring the volume of phase objects such as biological cells, transparent plates, optical fibers, and microparticles. There is an optimum filter which reduces relative error in volume measurement and improves accuracy significantly. The size of this optimum bandpass filter is not unique and dependent on the size and phase of samples, and amount of different noises in the measurement. Finding an optimum size for unknown samples can be considered as a challenging issue for operators. In this regard, the use of an automatic algorithm providing optimum filter can be helpful. Identifying the optimum filter for the operators measuring real samples without the need for prior knowledge regarding phase objects is considered as the preponderant feature of the suggested method. Mohammad Reza Jafarfard and Zahra Armand Sefat: A Smart Algorithm for Optimizing Bandpass Filter in
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
