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Basic Science and Pathogenesis.

Pietro Michelucci1, Lisa Gusman1, Laura Onac1

  • 1Human Computation Institute, Ithaca, NY, USA.

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Citizen science enables public volunteers to annotate brain images for Alzheimer's disease research. This crowd-powered approach achieves expert-level accuracy, aiding machine learning development.

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Area of Science:

  • Neuroscience
  • Pathology
  • Citizen Science

Background:

  • Research-grade histopathological annotations from whole slide images (WSIs) require high data quality beyond current automated methods.
  • Citizen science engages public volunteers as research collaborators, offering a scalable way to obtain expert-like histopathological evaluations.
  • This approach can enhance community outreach and education, particularly for populations disproportionately affected by Alzheimer's disease, like the Hispanic community.

Purpose of the Study:

  • To pilot human computation methods engaging public volunteers in annotating amyloid pathologies in human brain WSIs.
  • To compare a two-stage crowd-based analysis using "wisdom of crowd" methods against expert-generated gold standard data for specific pathologies.

Main Methods:

  • A crowd-powered analytic pipeline broke down histopathological analysis into manageable online tasks for non-expert volunteers.
  • "Wisdom of crowd" methods aggregated multiple individual annotations into a single expert-like annotation for each pathological instance.
  • The study compared crowd-based analysis to gold standard data for cored plaques and cerebral amyloid angiopathy.

Main Results:

  • Methodological development, including annotation interfaces and consensus methods, was tested.
  • Sufficient aggregation of non-expert answers achieved agreement with gold standard data, meeting or exceeding expert interrater agreement.
  • This demonstrates the feasibility of using citizen science for histopathological annotation.

Conclusions:

  • The developed approaches facilitate rapid, high-volume annotation dataset production for machine learning in neurodegenerative disease research.
  • Pilot results support the development of an online platform for de novo analysis of human brain histopathology by volunteers.
  • The platform will include culturally responsive outreach for impacted communities, such as Hispanic populations, to foster researcher engagement.