J
Jun Ma
Researcher at Nanjing University of Science and Technology
Publications - 65
Citations - 568
Jun Ma is an academic researcher from Nanjing University of Science and Technology. The author has contributed to research in topics: Holography & Digital holographic microscopy. The author has an hindex of 11, co-authored 57 publications receiving 369 citations. Previous affiliations of Jun Ma include University of Stuttgart.
Papers
More filters
Journal ArticleDOI
Resolution improvement in digital holography by angular and polarization multiplexing.
TL;DR: Experimental results show that the resolution of the synthesized image exceeds the resolution determined by the numerical aperture of the imaging microscope objective.
Journal ArticleDOI
10 kW-level spectral beam combination of two high power broad-linewidth fiber lasers by means of edge filters
Fan Chen,Jun Ma,Cong Wei,Rihong Zhu,Wenchao Zhou,Qun Yuan,Shaohua Pan,Jianyun Zhang,Wen Yize,Jiantai Dou +9 more
TL;DR: In this paper, the authors demonstrated a scheme to spectrally combine two high power, broad-linewidth single beams using a steep edge filter as the combining element and achieved a 10.12 kW combined output power with a beam quality of M2x = 11.4 and M2y = 10.4.
Journal ArticleDOI
Experimental far-field imaging properties of a ~5-μm diameter spherical lens
Ran Ye,Yong-Hong Ye,Hui Feng Ma,Jun Ma,Bin Wang,Jie Yao,Shuai Liu,Lingling Cao,Huanhuan Xu,Jiayu Zhang +9 more
TL;DR: The experimental results show that, for a blu-ray disc, the lens can magnify the stripe patterns of the disc when the lens is spatially separated from the object.
Journal ArticleDOI
Image edge enhancement using Airy spiral phase filter.
TL;DR: The isotropic and anisotropic image edge enhancements by employing Airy spiral phase filters are proposed and demonstrated and two methods of image edge enhancement have been verified by using the amplitude-contrast and phase-cont contrast objects.
Journal ArticleDOI
Iterative autofocusing strategy for axial distance error correction in ptychography
TL;DR: An iterative autofocusing method is proposed to correct the axial distance error and the distance can be accurately obtained that can be used to enhance the quality and resolution of the reconstructed image.