1. Cell Biology
  2. Neuroscience

A scalable and modular automated pipeline for stitching of large electron microscopy datasets

  1. Gayathri Mahalingam  Is a corresponding author
  2. Russel Torres
  3. Daniel Kapner
  4. Eric T Trautman
  5. Tim Fliss
  6. Shamishtaa Seshamani
  7. Eric Perlman
  8. Rob Young
  9. Samuel Kinn
  10. JoAnn Buchanan
  11. Marc M Takeno
  12. Wenjing Yin
  13. Daniel J Bumbarger
  14. Ryder P Gwinn
  15. Julie Nyhus
  16. Ed Lein
  17. Steven J Smith
  18. R Clay Reid
  19. Khaled A Khairy
  20. Stephan Saalfeld
  21. Forrest Collman
  22. Nuno Macarico da Costa  Is a corresponding author
  1. Allen Institute for Brain Science, United States
  2. Janelia Research Campus, United States
  3. Yikes LLC, United States
  4. Swedish Neuroscience Institute, United States
  5. St. Jude Children's Research Hospital, United States
https://doi.org/10.7554/eLife.76534
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  1. Gayathri Mahalingam
  2. Russel Torres
  3. Daniel Kapner
  4. Eric T Trautman
  5. Tim Fliss
  6. Shamishtaa Seshamani
  7. Eric Perlman
  8. Rob Young
  9. Samuel Kinn
  10. JoAnn Buchanan
  11. Marc M Takeno
  12. Wenjing Yin
  13. Daniel J Bumbarger
  14. Ryder P Gwinn
  15. Julie Nyhus
  16. Ed Lein
  17. Steven J Smith
  18. R Clay Reid
  19. Khaled A Khairy
  20. Stephan Saalfeld
  21. Forrest Collman
  22. Nuno Macarico da Costa
(2022)
A scalable and modular automated pipeline for stitching of large electron microscopy datasets
eLife 11:e76534.
https://doi.org/10.7554/eLife.76534
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  1. Gayathri Mahalingam
  2. Russel Torres
  3. Daniel Kapner
  4. Eric T Trautman
  5. Tim Fliss
  6. Shamishtaa Seshamani
  7. Eric Perlman
  8. Rob Young
  9. Samuel Kinn
  10. JoAnn Buchanan
  11. Marc M Takeno
  12. Wenjing Yin
  13. Daniel J Bumbarger
  14. Ryder P Gwinn
  15. Julie Nyhus
  16. Ed Lein
  17. Steven J Smith
  18. R Clay Reid
  19. Khaled A Khairy
  20. Stephan Saalfeld
  21. Forrest Collman
  22. Nuno Macarico da Costa
(2022)
A scalable and modular automated pipeline for stitching of large electron microscopy datasets
eLife 11:e76534.
https://doi.org/10.7554/eLife.76534