Literature DB >> 20589032

Self-mixing flow sensor using a monolithic VCSEL array with parallel readout.

Yah Leng Lim1, Russell Kliese, Karl Bertling, Katsuyoshi Tanimizu, P A Jacobs, Aleksandar D Rakić.   

Abstract

The self-mixing sensing technique is a compact, interferometric sensing technique that can be used for measuring fluid flows. In this work, we demonstrate a parallel readout self-mixing flow velocity sensing system based on a monolithic Vertical-Cavity Surface-Emitting Laser (VCSEL) array. The parallel sensing scheme enables high-resolution full-field imaging systems employing electronic scanning with faster acquisition rates than mechanical scanning systems. The self-mixing signal is acquired from the variation in VCSEL junction voltage, thus markedly reducing the system complexity. The system was validated by measuring velocity distribution of fluid in a custom built diverging-converging planar flow channel. The results obtained agree well with simulation and demonstrate the feasibility of high frame-rate and resolution parallel self-mixing sensors.

Mesh:

Year:  2010        PMID: 20589032     DOI: 10.1364/OE.18.011720

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Laser doppler blood flow imaging using a CMOS imaging sensor with on-chip signal processing.

Authors:  Diwei He; Hoang C Nguyen; Barrie R Hayes-Gill; Yiqun Zhu; John A Crowe; Cally Gill; Geraldine F Clough; Stephen P Morgan
Journal:  Sensors (Basel)       Date:  2013-09-18       Impact factor: 3.576

2.  Concurrent Reflectance Confocal Microscopy and Laser Doppler Flowmetry to Improve Skin Cancer Imaging: A Monte Carlo Model and Experimental Validation.

Authors:  Alireza Mowla; Thomas Taimre; Yah Leng Lim; Karl Bertling; Stephen J Wilson; Tarl W Prow; H Peter Soyer; Aleksandar D Rakić
Journal:  Sensors (Basel)       Date:  2016-09-01       Impact factor: 3.576

3.  Measurement of the emission spectrum of a semiconductor laser using laser-feedback interferometry.

Authors:  James Keeley; Joshua Freeman; Karl Bertling; Yah Leng Lim; Reshma A Mohandas; Thomas Taimre; Lianhe H Li; Dragan Indjin; Aleksandar D Rakić; Edmund H Linfield; A Giles Davies; Paul Dean
Journal:  Sci Rep       Date:  2017-08-03       Impact factor: 4.379

  3 in total

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