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Automated image analysis of immunohistochemical stained brain slices of long term polyimid brain implants

P. Klimach, A. Richter, S. Danner, C. Kruse, V. Tronnier, U. G. Hofmann

Abstract

The current quest for brain-machine-interfaces is hindered by the need to find a reliable solution for truly chronic brain implants. One approach to tackle that problem is not only to use flexible, mechanically compliant micro recording probes, but to enhance their acceptance in the target tissue by biologization. In order to shed light on the best modifications, immunohistochemical staining of long term implants in rat brains provided thousands of images over a six month experimental phase. The current work explains the image processing method, how these images were analysed in the least ambiguous way to provide meaningful and statistically relevant results. Quantitative analysis of the images allowed for the comparison of changes within the image and comparison between different images.

Original languageEnglish
JournalBiomedizinische Technik
Volume57
Issue numberSUPPL. 1 TRACK-B
Pages (from-to)481-484
Number of pages4
ISSN0013-5585
DOIs
Publication statusPublished - 24.08.2012

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This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  5. SDG 15 - Life on Land
    SDG 15 Life on Land

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