A Caltech Library Service

Bat algorithm-enabled binary optimization for scattered light focusing

Wang, Zi-Qiang and Zhao, Qian and Yu, Pan-Pan and Yang, Jia-Miao and Li, Yin-Mei and Gong, Lei (2019) Bat algorithm-enabled binary optimization for scattered light focusing. Applied Physics Express, 12 (10). Art. No. 102002. ISSN 1882-0778. doi:10.7567/1882-0786/ab3e5a.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


We introduce a novel global optimization algorithm–bat algorithm (BA) for wavefront shaping to focus light through highly scattered media. Compared with the well-known genetic algorithm, BA-based binary wavefront shaping achieves a higher enhancement with less time in noisy environments, which is validated by simulation and experiment. Using a high-speed digital micromirror device, the BA enables quick formation of single or multiple focal spots through a highly scattering layer. The BA offers a competitive algorithm for wavefront shaping in turbid media, which might benefit biomedical imaging in deep tissues.

Item Type:Article
Related URLs:
URLURL TypeDescription
Zhao, Qian0000-0001-6939-3568
Gong, Lei0000-0002-0995-5781
Additional Information:© 2019 The Japan Society of Applied Physics. Received 9 July 2019; Accepted 25 August 2019; Accepted Manuscript online 26 August 2019; Published 4 September 2019. The authors acknowledge the supports from the National Natural Science Foundation of China (Grant Nos. 61535011 and 11374292) and the National Key Research and Development Program of China (2017YFA0304800).
Funding AgencyGrant Number
National Natural Science Foundation of China61535011
National Natural Science Foundation of China11374292
National Key Research and Development Program of China2017YFA0304800
Issue or Number:10
Record Number:CaltechAUTHORS:20190904-104422621
Persistent URL:
Official Citation:Zi-Qiang Wang et al 2019 Appl. Phys. Express 12 102002
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98408
Deposited By: Tony Diaz
Deposited On:04 Sep 2019 21:08
Last Modified:16 Nov 2021 17:38

Repository Staff Only: item control page