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Michael E Meichle

from Cottonwood Heights, UT
Age ~71
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Related to:
Annie L Clarke, 40David P Meichle, 38Linda S Barton, 67Kathy Meichle, 68Mike Eric MeichleJohn K Meichle, 35
Connected to:
Elizabeth S Meickles, 42Shana M Meidam, 46Grace Meidanis, 51Hope Meidanis, 68Eric E Meide, 57Sandra A Meide, 82Scott M Meide, 53Kylie D Meidell, 34Britt A Meidenbauer, 54Lorraine C Meiden, 83

Michael Meichle Phones & Addresses

  • Cottonwood Heights, UT
  • 7752 S Steffensen Dr, Salt Lake Cty, UT 84121
  • Salt Lake City, UT
  • Butte, MT
  • Kirkland, WA
  • 103 Country Garden Apts, Troy, NY 12180
  • Rochester, NY
  • Watervliet, NY

Work

Company: Ge healthcare Sep 2011 Address: Salt Lake City, UT Position: Sr. image quality engineer

Education

Degree: Ph.D School / High School: University of Illinois at Urbana-Champaign 1975 to 1981 Specialities: Physics

Skills

C • Embedded Systems • Image Processing • Materials Science • Optics • Physics • Product Development • R • Science • Sensors • Software Development • Testing • Characterization • Patents • Image Analysis • Software Engineering • Programming • R&D • Research and Development

Interests

Sailing • Astronomy • Woodworking

Industries

Research

Resumes

Resumes

Michael Meichle Photo 1

Senior Image Scientist

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Location:
Salt Lake City, UT
Industry:
Research
Work:
GE Healthcare - Salt Lake City, UT since Sep 2011
Sr. Image Quality Engineer
Resodyn Corporation Dec 2009 - Dec 2010
Sr. Research Scientist
Micro Encoder Mar 2007 - Jun 2008
Sr. Research Scientist
AutoQuant Imaging 2003 - 2006
Sr.Research Engineer
Monroe Community College Jan 2002 - Aug 2004
Assistant Professor (Adjunct)
Education:
University of Illinois at Urbana-Champaign 1975 - 1981
Ph.D, Physics Montana State University-Bozeman 1971 - 1975
B.S., Physics Montana State University-Bozeman 1971 - 1974
B.S., Math
Skills:
C
Embedded Systems
Image Processing
Materials Science
Optics
Physics
Product Development
R
Science
Sensors
Software Development
Testing
Characterization
Patents
Image Analysis
Software Engineering
Programming
R&D
Research and Development
Interests:
Sailing
Astronomy
Woodworking

Publications

Us Patents

Magnetic Caliper With Reference Scale On Edge

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US Patent:
7530177, May 12, 2009
Filed:
Nov 8, 2007
Appl. No.:
11/937427
Inventors:
Michael E. Meichle - Kirkland WA, US
Kim W. Atherton - Kirkland WA, US
Assignee:
Mitutoyo Corporation - Kawasaki-shi
International Classification:
G01B 7/14
G01B 7/02
US Classification:
33708, 33784
Abstract:
An electronic hand tool type caliper includes a scale track located along a scale member reference edge that forms a sliding bearing with a mating surface of the caliper slide, thereby maintaining proper alignment of the slide jaw. Placing the scale track along the reference edge is advantageous in that the reference edge surface is inherently precisely machined and particles are excluded by the inherently close fit and the wiping action of the sliding bearing. A readhead sensor is mounted within the slide surface that mates to the reference edge to provide the sliding bearing. Thus, a very small readhead sensor may be reliably positioned at an extremely small gap relative to the scale in a protected operating environment, without detrimentally affecting cost, slider friction, or signal strength. High resolution digital signals may be provided.

Realtime 2D Deconvolution System And Method

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US Patent:
7602989, Oct 13, 2009
Filed:
May 24, 2005
Appl. No.:
11/136285
Inventors:
David S. C. Biggs - Waterford NY, US
Michael E. Meichle - Kirkland WA, US
International Classification:
G06K 9/40
G06K 9/64
US Classification:
382260, 382279
Abstract:
A real time 2D deconvolution system and method for processing a time sequence, or video sequence, of microscopy images. A system is provided that includes a first algorithm for processing a first image in the set of 2D images, wherein the first algorithm calculates an estimated point spread function (PSF) by analyzing data in the first image; and a second algorithm for processing a set of subsequent images in the set of 2D images, wherein each subsequent image is processed based on the estimated PSF, under the assumption of slowly-varying image change. A PSF refinement system may optionally improve the PSF estimate, between each image, as computation time permits.
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Michael E Meichle from Cottonwood Heights, UT, age ~71 Get Report