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Updated: Feb 3, 2026

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Large-scale neuroanatomy using LASSO: Loop-based Automated Serial Sectioning Operation.

Timothy J Lee1, Aditi Kumar1, Aishwarya H Balwani2

  • 1Georgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA, United States of America.

Plos One
|October 24, 2018
PubMed
Summary
This summary is machine-generated.

We developed LASSO, an automated serial sectioning method for brain tissue, improving throughput and reducing costs for 3D neuroanatomy. This high-yield technique ensures excellent image quality for advanced brain research.

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Area of Science:

  • Neuroscience
  • Microscopy
  • Bioengineering

Background:

  • Serial section transmission electron microscopy (ssTEM) is crucial for high-resolution 3D brain mapping.
  • Current ssTEM methods face challenges in scalability, cost, and throughput for large brain volumes.

Purpose of the Study:

  • To introduce LASSO (Loop-based Automated Serial Sectioning Operation), a novel automated method for high-yield, low-cost, and high-throughput ssTEM.
  • To develop mathematical models for assessing ssTEM scalability in terms of yield, throughput, and cost.
  • To validate LASSO's performance and image quality using human brain tissue.

Main Methods:

  • LASSO processes serial sections in automated batches using robotic tools for cutting, pickup, and placement onto TEM substrates.
  • Mathematical models were formulated to evaluate ssTEM scalability.
  • Experimentally validated using 729 serial sections of human brain tissue, assessing yield, section placement accuracy, cycle time, and TEM image quality.

Main Results:

  • Achieved a section yield of 99.7% (727/729 sections).
  • Demonstrated accurate and repeatable section placement with a mean cycle time of 43 seconds.
  • TEM imaging revealed no significant distortion or artifacts, with image quality comparable to traditional methods.

Conclusions:

  • LASSO offers a flexible, scalable, and accessible technology platform for large-scale neuroanatomical studies.
  • The method significantly improves throughput, yield, and cost-effectiveness compared to traditional serial sectioning.
  • LASSO enables the next generation of 3D brain connectomics research.