Automating the Collection of Ultrathin Serial Sections for Large Volume TEM Reconstructions
By K. Hayworth, N. Kasthuri, R. Schalek, Jeff William Lichtman. Microscopy and Microanalysis, 2006
190 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Structural Biology, Surfaces, Coatings and Films
View Paper: https://www.semanticscholar.org/paper/47fd1bfbb5cd2bf1d1370d821246d9a6793e1add
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Structural Biology
- Moritz Helmstaedter
- Viren Jain
- H. Sebastian Seung
- Srinivas C. Turaga
- Winfried Denk
- Kristen M. Harris
- Jeff William Lichtman
- Kevin L. Briggman
In Surfaces, Coatings and Films
- Kristen M. Harris
- Winfried Denk
- H. Sebastian Seung
- Kevin L. Briggman
- Moritz Helmstaedter
- Srinivas C. Turaga
- Viren Jain
Citations in the corpus
- Machines that learn to segment images: a crucial technology for connectomics. (2010, background): “Recent advances in serial EM (Denk et al., 2004; Briggman and Denk, 2006; Hayworth et al., 2006; Smith, 2007) have revived interest in finding connectomes.”
- Cellular-resolution connectomics: challenges of dense neural circuit reconstruction (2013, unknown): “3a ), automated serial-section tape-collection scanning electron microscopy (ATUM-SEM 17 ; Fig.”
- Boundary Learning by Optimization with Topological Constraints (2010, methodology): “Serial sections of rat hippocampus were obtained us-ing the Automatic Tape Collecting Lathe Ultra-Microtome (ATLUM) [16].”