A laser-scanning endoscope based on polysilicon micromachined mirrors with enhanced attributes

M. George; H. Albrecht; M. O. Schurr; P. Papageorgas; U. Hofmann; D. Maroulis; C. Depeursinge; D. Iakkovidis; N. Theofanous; A. Menciassi

doi:10.1117/12.500541

A laser-scanning endoscope based on polysilicon micromachined mirrors with enhanced attributes

M. George^*, H. Albrecht, M. O. Schurr, P. Papageorgas, U. Hofmann, D. Maroulis, C. Depeursinge, D. Iakkovidis, N. Theofanous, A. Menciassi

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

A miniaturized laser scanning endoscope is presented which makes use of three lasers to illuminate a sample with a red, a green and a blue wavelength simultaneously. Scattered light from the sample is descanned and chromatically separated into the three channels for detection and postprocessing to compose a color image. The scanning subsystem consists of two micro-electro-mechanical mirrors suitable for mass production. The endoscope head can be assembled fast and at low cost. A resolution of the order of 16 lines per mm is achieved for a working distance common in endoscopy. Considerations of the system design include the operation of the mico mirrors, the filtering of reflected light by using polarization effects and a strategy to cope with color metamery. An expert system based on a neural network was found able to analyze endoscopic images to identify suspicious lesions.

Original language	English (US)
Pages (from-to)	145-156
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5143
DOIs	https://doi.org/10.1117/12.500541
State	Published - 2003
Externally published	Yes
Event	Novel Optical Instrumentation for Biomedical Applications - Munich, Germany Duration: Jun 24 2003 → Jun 25 2003

Keywords

Color metamery
Endoscope
Expert system
Laser scanning
MEMS
Neural network
Silicon micromirror

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.500541

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George, M., Albrecht, H., Schurr, M. O., Papageorgas, P., Hofmann, U., Maroulis, D., Depeursinge, C., Iakkovidis, D., Theofanous, N., & Menciassi, A. (2003). A laser-scanning endoscope based on polysilicon micromachined mirrors with enhanced attributes. Proceedings of SPIE - The International Society for Optical Engineering, 5143, 145-156. https://doi.org/10.1117/12.500541

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title = "A laser-scanning endoscope based on polysilicon micromachined mirrors with enhanced attributes",

abstract = "A miniaturized laser scanning endoscope is presented which makes use of three lasers to illuminate a sample with a red, a green and a blue wavelength simultaneously. Scattered light from the sample is descanned and chromatically separated into the three channels for detection and postprocessing to compose a color image. The scanning subsystem consists of two micro-electro-mechanical mirrors suitable for mass production. The endoscope head can be assembled fast and at low cost. A resolution of the order of 16 lines per mm is achieved for a working distance common in endoscopy. Considerations of the system design include the operation of the mico mirrors, the filtering of reflected light by using polarization effects and a strategy to cope with color metamery. An expert system based on a neural network was found able to analyze endoscopic images to identify suspicious lesions.",

keywords = "Color metamery, Endoscope, Expert system, Laser scanning, MEMS, Neural network, Silicon micromirror",

author = "M. George and H. Albrecht and Schurr, {M. O.} and P. Papageorgas and U. Hofmann and D. Maroulis and C. Depeursinge and D. Iakkovidis and N. Theofanous and A. Menciassi",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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George, M, Albrecht, H, Schurr, MO, Papageorgas, P, Hofmann, U, Maroulis, D, Depeursinge, C, Iakkovidis, D, Theofanous, N & Menciassi, A 2003, 'A laser-scanning endoscope based on polysilicon micromachined mirrors with enhanced attributes', Proceedings of SPIE - The International Society for Optical Engineering, vol. 5143, pp. 145-156. https://doi.org/10.1117/12.500541

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AU - George, M.

AU - Albrecht, H.

AU - Schurr, M. O.

AU - Papageorgas, P.

AU - Hofmann, U.

AU - Maroulis, D.

AU - Depeursinge, C.

AU - Iakkovidis, D.

AU - Theofanous, N.

AU - Menciassi, A.

PY - 2003

Y1 - 2003

N2 - A miniaturized laser scanning endoscope is presented which makes use of three lasers to illuminate a sample with a red, a green and a blue wavelength simultaneously. Scattered light from the sample is descanned and chromatically separated into the three channels for detection and postprocessing to compose a color image. The scanning subsystem consists of two micro-electro-mechanical mirrors suitable for mass production. The endoscope head can be assembled fast and at low cost. A resolution of the order of 16 lines per mm is achieved for a working distance common in endoscopy. Considerations of the system design include the operation of the mico mirrors, the filtering of reflected light by using polarization effects and a strategy to cope with color metamery. An expert system based on a neural network was found able to analyze endoscopic images to identify suspicious lesions.

AB - A miniaturized laser scanning endoscope is presented which makes use of three lasers to illuminate a sample with a red, a green and a blue wavelength simultaneously. Scattered light from the sample is descanned and chromatically separated into the three channels for detection and postprocessing to compose a color image. The scanning subsystem consists of two micro-electro-mechanical mirrors suitable for mass production. The endoscope head can be assembled fast and at low cost. A resolution of the order of 16 lines per mm is achieved for a working distance common in endoscopy. Considerations of the system design include the operation of the mico mirrors, the filtering of reflected light by using polarization effects and a strategy to cope with color metamery. An expert system based on a neural network was found able to analyze endoscopic images to identify suspicious lesions.

KW - Color metamery

KW - Endoscope

KW - Expert system

KW - Laser scanning

KW - MEMS

KW - Neural network

KW - Silicon micromirror

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

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Y2 - 24 June 2003 through 25 June 2003

ER -

A laser-scanning endoscope based on polysilicon micromachined mirrors with enhanced attributes

Abstract

Keywords

ASJC Scopus subject areas

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