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Proceedings Paper

MEMS based multi-spectral dual-axis confocal microendoscope for clinical applications (Conference Presentation)
Author(s): Zhen Qiu; Nathan Loewke; Wibool Piyawattanametha; Il-woong Jung; Tarn Teraphongphom; Robert Ertsey; Frank Schonig; Stephan Rogalla; Shai Friedland; Michael Mandella; Daniel Lopez; Eben Rosenthal; Christopher Contag

Paper Abstract

MEMS based microendoscopes have become important imaging tools for early cancer diagnosis and precise tumor resection. Due to various technical challenges, few microendoscopes have been translated to clinics or applied to human patients. Through synergistic collaborations, we have developed novel MEMS scanner enabled microendoscopic multispectral (640nm to 780nm) three- dimensional dual-axis confocal fluorescent imaging system for translational applications, including early cancer detection and staging on colorectal cancer, molecular imaging guided surgical navigation on head and neck cancer. Based on dual-axis confocal microscopic architecture, we have miniaturized the imaging system with compact form-factor by integrating micro-optics and a patterned gold coated MEMS scanners, which have been custom-made and mass-produced in the nanofabrication foundry. The metal coating of the scanning mirror provide over 80% high reflectivity over near infra-red range. Both axes of the MEMS scanner could perform large tilting angle (> 6 degree mechanical scan angle) at DC and resonant mode. By advanced computational imaging approach, we have achieved real-time cross-sectional imaging in either raster or lissajous pattern scanning with fast frame rate (> 10 Hz) with large field-of-view (> 600 microns). Advanced real-time mosaicing algorithm has been developed to achieve broader view in millimeter scale. By utilizing molecular contrast probes conjugated with fluorescence dye, we have successfully demonstrated multi-spectral ex-vivo and in-vivo imaging on small animal tumor models and human tissue specimens, aimed for both early cancer detection and molecular imaging guided surgical navigation.

Paper Details

Date Published: 14 March 2018
Proc. SPIE 10545, MOEMS and Miniaturized Systems XVII, 105450N (14 March 2018); doi: 10.1117/12.2292262
Show Author Affiliations
Zhen Qiu, Michigan State Univ. (United States)
Nathan Loewke, Stanford Univ. (United States)
Wibool Piyawattanametha, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Il-woong Jung, Argonne National Lab. (United States)
Tarn Teraphongphom, Stanford Univ. (United States)
Robert Ertsey, Stanford Univ. (United States)
Frank Schonig, Stanford Univ. (United States)
Stephan Rogalla, Stanford Univ. (United States)
Shai Friedland, Stanford Univ. (United States)
Michael Mandella, Stanford Univ. (United States)
Daniel Lopez, Argonne National Lab. (United States)
Eben Rosenthal, Stanford Univ. (United States)
Christopher Contag, Michigan State Univ. (United States)

Published in SPIE Proceedings Vol. 10545:
MOEMS and Miniaturized Systems XVII
Wibool Piyawattanametha; Yong-Hwa Park; Hans Zappe, Editor(s)

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