Sam Kinn

Allen Institute for Brain Science

Papers

1

Total Citations

12

H-Index

1

About

Sam Kinn is a neuroscientist and engineer whose work focuses on advancing large-scale connectomics through innovative automation and imaging techniques. His primary research areas include serial section transmission electron microscopy (ssTEM), high-throughput neuroanatomy, and computational methods for three-dimensional brain mapping. Kinn’s major contribution is the development of LASSO (Loop-based Automated Serial Sectioning Operation), a groundbreaking approach that dramatically increases the yield and reduces the cost of serial sectioning for electron microscopy. This method enables researchers to reconstruct neural circuits over millimeter-scale volumes with nanometer precision, overcoming a critical bottleneck in the field. His most-cited paper, “Large-scale neuroanatomy using LASSO” (2018, 12 citations), has become a foundational reference for labs seeking scalable connectomics solutions. Though early in his career, Kinn’s work has already been recognized for its potential to democratize high-resolution brain mapping, making it accessible to a broader research community. His achievements mark him as a rising leader in the quest to map the brain’s intricate wiring.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Large-scale neuroanatomy using LASSO: Loop-based Automated Serial Sectioning Operation
12 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Allen Institute for Brain Science

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago