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Ole V Eichhorn

from Westlake Village, CA
Age ~65
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Also known as:
Ole Victor Eichhorn, Ole Eichhorn, Ole Eichhom
Phone and address:
5736 Tanner Ridge Ave, Thousand Oaks, CA 91362
(805) 449-1705
Related to:
Steve H Garcia, 59Megan F Eichhorn, 26Maribel C Cohan, 53Alexis Eichhorn, 30Mildred F PodmoreJose G Cardenas, 61Felipe S Garcia, 59Andrew J Garcia, 65Ramon F GarciaTeresa A Powers, 65Nicole Garcia, 41Michael H Powers, 63Jacoba X Eichhorn, 90Jordan Garcia, 37Steven James Garcia, 70Josephine P GarciaShirley J Eichhorn, 65
Connected to:
Amanda Eichhorn, 47Ashley L Eichhorn, 36Carl W Eichhorst, 58Charlotte R Eichhorst, 61Cherie Eichhorn, 72Colleen M Eichhorn, 41Dale R Eichhorn, 72Darby J Eichhorn, 34David R Eichhorst, 75Dorte K Eichhorst, 85

Ole Eichhorn Phones & Addresses

  • 5736 Tanner Ridge Ave, Westlake Vlg, CA 91362 (805) 449-1705
  • 4210 Hunt Club Ln, Westlake Village, CA 91361
  • 4301 Golf Course Dr, Westlake Village, CA 91362 (805) 449-1704
  • Thousand Oaks, CA
  • Ventura, CA
  • Santa Clara, CA
  • 493 Portola Ave, Los Altos, CA 94022 (650) 949-3714 (650) 949-4568
  • Carlsbad, CA
  • Vista, CA
  • Tacoma, WA
  • Moorpark, CA
  • Lake View Terrace, CA
  • 1418 Southwind Cir, Westlake Village, CA 91361

Work

Company: Aperio / leica pathology imaging Oct 2001 Position: Chief technology officer

Education

School / High School: California Institute of Technology 1975 to 1979

Skills

Image Analysis • Pattern Recognition • Medical Devices • Financial Transactions • Digital Imaging • Image Processing • Medical Imaging • Software Development • Software Engineering

Languages

English • Dutch

Industries

Computer Software

Resumes

Resumes

Ole Eichhorn Photo 1

Cto At Aperio / Leica Pathology Imaging

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Position:
Chief Technology Officer at Aperio / Leica Pathology Imaging
Location:
Westlake Village, California
Industry:
Computer Software
Work:
Aperio / Leica Pathology Imaging since Oct 2001
Chief Technology Officer
Education:
California Institute of Technology 1975 - 1979
Skills:
Image Analysis
Pattern Recognition
Medical Devices
Financial Transactions
Digital Imaging
Image Processing
Medical Imaging
Software Development
Software Engineering
Languages:
English
Dutch

Publications

Us Patents

Image Processing And Analysis Framework

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US Patent:
7116440, Oct 3, 2006
Filed:
Feb 26, 2004
Appl. No.:
10/787330
Inventors:
Ole Eichhorn - Westlake Village CA, US
Allen Olson - San Diego CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06F 15/00
US Classification:
358 15, 358 118
Abstract:
A system and method for processing and analyzing virtual microscopy digital images (“virtual slides”) is provided. The system comprises an algorithm server that maintains or has access to a plurality of image processing and analysis routines. The algorithm server additionally has access to a plurality of virtual slides. The algorithm server executes a selected routine on an identified virtual slide and provides the resulting data. The virtual slide can be accessed locally or remotely across a network. Similarly, the image processing routines can be obtained from local storage or across a network, or both. Advantageously, certain common sub-routines may be stored locally for inclusion in other local or remotely obtained routines. Access to image processing and analysis may be restricted through a monitor process that authenticates requests to process or view virtual slides. Variations in restrictions to images provide a rich diversity in access levels that allow sharing of virtual slides and demonstrations of image processing algorithms.

Systems And Methods For Image Pattern Recognition

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US Patent:
7257268, Aug 14, 2007
Filed:
Feb 9, 2004
Appl. No.:
10/774971
Inventors:
Ole Eichhorn - Westlake Village CA, US
Dirk G. Soenksen - Carlsbad CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06K 9/36
US Classification:
382253
Abstract:
Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (“VQ”) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics. In virtual microscopy, the systems and methods are suitable for rare-event finding, such as detection of micrometastasis clusters, tissue identification, such as locating regions of analysis for immunohistochemical assays, and rapid screening of tissue samples, such as histology sections arranged as tissue microarrays (TMAs).

System And Method For Data Management In A Linear-Array-Based Microscope Slide Scanner

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US Patent:
7428324, Sep 23, 2008
Filed:
Apr 21, 2006
Appl. No.:
11/379648
Inventors:
Greg J. Crandall - Rancho Santa Fe CA, US
Ole Eichhorn - Westlake Village CA, US
Allen H. Olson - San Diego CA, US
Dirk G. Soenksen - Carlsbad CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
A data management system and method for processing, storing, and viewing the extremely large imagery data that is rapidly produced by a linear-array-based microscope slide scanner is provided. The system receives, processes, and stores imagery data produced by the linear-array-based microscope slide scanner at approximately 3 GB per minute. The data are received as a series of overlapping image stripes and combined into a seamless and contiguous baseline image. The baseline image is logically mapped into a plurality of regions that are individually addressed to facilitate viewing and manipulation of the baseline image. The data management system enables imagery data compression while scanning and capturing new image stripes. This advantageously eliminates the overhead associated with storing uncompressed image stripes. The image compression also creates intermediate level images, thereby organizing the baseline image into a variable level pyramid structure referred to as a virtual slide.

Systems And Methods For Creating And Viewing Three Dimensional Virtual Slides

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US Patent:
7463761, Dec 9, 2008
Filed:
May 27, 2005
Appl. No.:
11/140265
Inventors:
Ole Eichhorn - Westlake Village CA, US
Greg Crandall - Rancho Santa Fe CA, US
Steven Hashagen - Albuquerque NM, US
Dirk Soenksen - Carlsbad CA, US
Mark Wrenn - Oceanside CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06K 9/00
US Classification:
382133, 382154
Abstract:
Systems and methods for creating and viewing three dimensional virtual slides are provided. One or more microscope slides are positioned in an image acquisition device that scans the specimens on the slides and makes two dimensional images at a medium or high resolution. This two dimensional images are provided to an image viewing workstation where they are viewed by an operator who pans and zooms the two dimensional image and selects an area of interest for scanning at multiple depth levels (Z-planes). The image acquisition device receives a set of parameters for the multiple depth level scan, including a location and a depth. The image acquisition device then scans the specimen at the location in a series of Z-plane images, where each Z-plane image corresponds to a depth level portion of the specimen within the depth parameter.

Systems And Methods For Image Pattern Recognition

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US Patent:
7502519, Mar 10, 2009
Filed:
Aug 9, 2007
Appl. No.:
11/836713
Inventors:
Ole Eichhorn - Westlake Village CA, US
Dirk G. Soenksen - Carlsbad CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06K 9/36
G06K 9/00
US Classification:
382253, 382181
Abstract:
Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (“VQ”) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics. In virtual microscopy, the systems and methods are suitable for rare-event finding, such as detection of micrometastasis clusters, tissue identification, such as locating regions of analysis for immunohistochemical assays, and rapid screening of tissue samples, such as histology sections arranged as tissue microarrays (TMAs).

Image Processing And Analysis Framework

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US Patent:
7602524, Oct 13, 2009
Filed:
Sep 29, 2006
Appl. No.:
11/536985
Inventors:
Ole Eichhorn - Westlake Village CA, US
Allen Olson - San Diego CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06F 15/00
G06F 3/12
US Classification:
358 15, 358 115
Abstract:
A system and method for processing and analyzing virtual microscopy digital images (“virtual slides”) is provided. The system comprises an algorithm server that maintains or has access to a plurality of image processing and analysis routines. The algorithm server additionally has access to a plurality of virtual slides. The algorithm server executes a selected routine on an identified virtual slide and provides the resulting data. The virtual slide can be accessed locally or remotely across a network. Similarly, the image processing routines can be obtained from local storage or across a network, or both. Advantageously, certain common sub-routines may be stored locally for inclusion in other local or remotely obtained routines. Access to image processing and analysis may be restricted through a monitor process that authenticates requests to process or view virtual slides. Variations in restrictions to images provide a rich diversity in access levels that allow sharing of virtual slides and demonstrations of image processing algorithms.

Systems And Methods For Creating And Viewing Three Dimensional Virtual Slides

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US Patent:
7689024, Mar 30, 2010
Filed:
Dec 8, 2008
Appl. No.:
12/330370
Inventors:
Ole Eichhorn - Westlake Village CA, US
Greg Crandall - Rancho Santa Fe CA, US
Dirk Soenksen - Carlsbad CA, US
Steven Hashagen - Albuquerque NM, US
Mark Wrenn - Oceanside CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06K 9/00
US Classification:
382133, 382154
Abstract:
Systems and methods for creating and viewing three dimensional virtual slides are provided. One or more microscope slides are positioned in an image acquisition device that scans the specimens on the slides and makes two dimensional images at a medium or high resolution. This two dimensional images are provided to an image viewing workstation where they are viewed by an operator who pans and zooms the two dimensional image and selects an area of interest for scanning at multiple depth levels (Z-planes). The image acquisition device receives a set of parameters for the multiple depth level scan, including a location and a depth. The image acquisition device then scans the specimen at the location in a series of Z-plane images, where each Z-plane image corresponds to a depth level portion of the specimen within the depth parameter.

System And Method For Viewing Virtual Slides

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US Patent:
7738688, Jun 15, 2010
Filed:
Feb 26, 2004
Appl. No.:
10/787773
Inventors:
Ole Eichhorn - Westlake Village CA, US
Anne Brumme - Carlsbad CA, US
Assignee:
Aperio Technologies, Inc. - Vista CA
International Classification:
G06K 9/00
US Classification:
382133, 382128
Abstract:
Virtual slide image data and corresponding information are stored in a data storage area on a virtual slide image server. A client viewer requests image data at a particular resolution. The image server obtains corresponding image data from the data storage area at a resolution nearest to the requested resolution. The image data is then sent to the client viewer. The client viewer receives the image data and scales the image data to the requested resolution prior to displaying the image data.
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Ole V Eichhorn from Westlake Village, CA, age ~65 Get Report