Mimac computational method for characterization of microglia alterations

  • University of Luxembourg
  • From Luxembourg
  • Responsive
  • Research Services and Capabilities

Summary of the technology

Methodology for a fully automated processing pipeline of microscopy images, more specifically of tissue containing microglia/immune cells.

It can support the research task of analyzing and exploring this type of cells and it could be generalize for its use as a diagnostic tool for neuropathology assessments.

University of Luxembourg

Details of the Technology Offer

Methodology for a fully automated processing pipeline of microscopy images, more specifically of tissue containing microglia/immune cells.

It can support the research task of analysing and exploring this type of cells and it could be generalize for its use as a diagnostic tool for neuropathology assessments.

Though this method has been tailored for microglia/immune cells, it could be generalized to other types of glial/brain cells, with the proper parameter tuning.

MIC-MAC is open source. The newer version is completely stand-alone and a dedicated GUI is being developed for improving the user experience.

ADVANTAGES

  • Fast and reliable method for the analysis of large sections of immunostained human brain (or other species) samples and the identification of different types of cells and sub-populations.
  • Automatic and unbiased computation of a rich and coherent spectrum of morphologies.
  • Novel iterative cell extraction technique compared to other commercial solutions.
  • Potential to perform different analyses and comparisons with the information computed.
  • Fully automated pipeline, with interactive parameter tuning for achieving high quality data extraction.

POTENTIAL APPLICATIONS

This invention could lead to a support/diagnostic tool for neuropathology.

Related Keywords

  • Remote diagnostics
  • E-Health
  • Detection and Analysis methods
  • Biological Sciences
  • Computer Software Technology
  • Neurology, Brain Research
  • Medical Technology / Biomedical Engineering
  • Diagnostic
  • Artificial intelligence related software
  • Medical Health related
  • Computer-aided diagnosis and therapy
  • Medical equipment
  • Analytical and Scientific Instrumentation
  • Stem cells and biobanks
  • Microglia
  • microscopy
  • open-source
  • brain cells

About University of Luxembourg

The University of Luxembourg, founded in 2003, is multilingual, international and strongly focused on research. Its students and staff have chosen a modern institution with a personal atmosphere, close to the European institutions, international companies and the financial place.

Teaching, research and knowledge transfer at the highest international level: those are the goals that this university set from the start. With 270 professors, associate professors, assistant professors and senior lecturers, students from 130 different countries and lecturers originating from 20 different countries, the University offers a multicultural environment. Exchange agreements and research cooperations exist with 354 universities around the world.

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The central research priorities of the University of Luxembourg are:
- Materials Science
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- European and International Law
- Finance and Financial Innovation
- Education
- Digital and Contemporary History

as well as cross-disciplinary themes (details at https://www.uni.lu/research/focus_areas):
- Health and Systems Biomedicine
- Data Modelling and Simulation (formerly known as Computational Sciences)

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- Among the top 250 universities in the Times Higher Education (THE) World University Rankings 2021.
- No. 3 worldwide in the THE “international outlook” Rankings 2021.
- No. 20 worldwide in the THE Young University Rankings 2021.
https://wwwen.uni.lu/university/about_the_university/rankings_accreditations

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