Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89466
Title: Evaluation of the optimal steepest ascent algorithm for focusing light through turbid media
Authors: Verma, Manish
Liu, Quan
Keywords: Imaging through Turbid Media
Medical and Biological Imaging
Issue Date: 2017
Source: Verma, M., & Liu, Q. (2017). Evaluation of the optimal steepest ascent algorithm for focusing light through turbid media. Proceeding of SPIE 10416, Optical Coherence Imaging Techniques and Imaging in Scattering Media II, 104160O-.
metadata.dc.contributor.conference: Proceeding of SPIE 10416, Optical Coherence Imaging Techniques and Imaging in Scattering Media II
Abstract: We experimentally compare the optimal steepest ascent algorithm and the sequential method for feedback based iterative wavefront shaping. The former converges significantly faster and leads to a sharp focus behind a turbid medium.
URI: https://hdl.handle.net/10356/89466
http://hdl.handle.net/10220/44957
DOI: 10.1117/12.2283455
Schools: School of Chemical and Biomedical Engineering 
Rights: © 2017 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in Proceeding of SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017 and is made available as an electronic reprint (preprint) with permission of SPIE. The published version is available at: [http://dx.doi.org/10.1117/12.2283455]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Conference Papers

Page view(s) 50

498
Updated on Sep 28, 2023

Download(s) 50

113
Updated on Sep 28, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.