MIPAR and ImageJ FIJI as Tools for Electron Microscopy Quantification of Amyloid Fibrils

Charles A Garcia1, Veena Prasad1, Truman C Gamblin1

  • 1Department of Neuroscience, Developmental, and Regenerative Biology, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, Texas 78249, United States.

Biochemistry
|April 8, 2025
PubMed

Insights

Automating the measurement of tau filaments using electron microscopy (EM) with MIPAR and ImageJ FIJI software offers a reliable and efficient alternative to manual quantification. These methods accurately assess tau aggregate lengths and distributions, crucial for in vitro tau studies.

Area of Science:

  • Biochemistry
  • Microscopy
  • Computational Biology

Background:

  • In vitro studies of tau filaments are essential for understanding tauopathies.
  • Current methods like Thioflavin T fluorescence and laser light scattering provide only bulk measurements of tau aggregation.
  • Electron microscopy (EM) offers detailed filament length information but manual quantification is time-consuming.

Purpose of the Study:

  • To explore automated quantification of EM grids for tau filaments using MIPAR and ImageJ FIJI.
  • To compare the reliability and efficiency of MIPAR and ImageJ FIJI for measuring tau aggregate lengths and distributions.
  • To establish applicable methods for other filamentous biological structures.

Main Methods:

  • Induction of 2N4R tau filaments using arachidonic acid (ARA).
  • Acquisition of EM images of tau aggregates.
  • Automated quantification of filament lengths and distributions using MIPAR and ImageJ FIJI software.

Main Results:

  • Both MIPAR and ImageJ FIJI programs reliably quantified tau filaments.
  • The automated methods produced similar and consistent results for filament measurements.
  • The developed quantification approaches are applicable to other filamentous biological structures.

Conclusions:

  • Automating EM grid analysis with MIPAR and ImageJ FIJI significantly improves the efficiency of tau filament quantification.
  • These validated methods provide accurate semiquantitative data on tau aggregate length distributions.
  • The approach is versatile and can be applied to the study of various filamentous biological structures.

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