Paper
2 August 2010 Autofocusing on pure phase object for living cell imaging in lensless Fourier transform digital holography
Author Affiliations +
Abstract
The lensless Fourier transform digital holography has been widely employed in microscopic imaging. It enables quantitative phase analysis for both reflection and transmission objects. The phase image is obtained in the numerical reconstruction procedure. The in-focus reconstruction distance could be determined according to the extremum of the autofocusing criterion function, which is commonly applied in finding the in-focus amplitude image of the object. Then the reconstruction distance for the phase image is considered to be equal to the one for the amplitude image. When the object is a pure phase sample, such as the living cell, the minimum value of the autofocusing criterion function should be found to determine the in-focus reconstruction distance. However, in the experiment, the in-focus amplitude image is often not an ideal uniform bright field, so this method will result in some deviation. In this contribution, two derivatives-based criterion functions are applied to the phase image directly to accomplish the in-focus phase contrast imaging, which is more intuitive and precise. In our experiments, the set-up of the lensless Fourier transform digital holography is established firstly. Then the living cervical carcinoma cells are detected. The phase aberration is corrected by two-step algorithm. The final autofocusing results verify the algorithm proposed in this paper.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Zhao, Dayong Wang, Yunxin Wang, Changgeng Liu, Yan Li, Huakun Cui, and Yuhong Wan "Autofocusing on pure phase object for living cell imaging in lensless Fourier transform digital holography", Proc. SPIE 7790, Interferometry XV: Techniques and Analysis, 779017 (2 August 2010); https://doi.org/10.1117/12.860527
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

3D image reconstruction

Fourier transforms

Holograms

Digital holography

Charge-coupled devices

Convolution

Back to Top