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Organelle Segmentation Facilitated by Correlative Light Microscopy Data

Published online by Cambridge University Press:  22 July 2022

Ryan Lane*
Affiliation:
Delft University of Technology, Department of Imaging Physics, Delft, The Netherlands
Luuk Balkenende
Affiliation:
Delft University of Technology, Department of Imaging Physics, Delft, The Netherlands
Simon van Staalduine
Affiliation:
Delft University of Technology, Department of Imaging Physics, Delft, The Netherlands
Anouk H. G. Wolters
Affiliation:
University Medical Center Groningen, Department of Biomedical Sciences of Cells and Systems, Groningen, The Netherlands
Ben N. G. Giepmans
Affiliation:
University Medical Center Groningen, Department of Biomedical Sciences of Cells and Systems, Groningen, The Netherlands
Lennard Voortman
Affiliation:
Leiden University Medical Center, Department of Cell and Chemical Biology, Leiden, The Netherlands
Jacob Hoogenboom
Affiliation:
Delft University of Technology, Department of Imaging Physics, Delft, The Netherlands
*
*Corresponding author: r.i.lane@tudelft.nl

Abstract

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Type
From Images to Insights: Working With Large Multi-modal Data in Cell Biological Imaging
Copyright
Copyright © Microscopy Society of America 2022

References

Perez, Alex J., et al. Frontiers in neuroanatomy 8 (2014): 126.CrossRefGoogle Scholar
Heinrich, Larissa, et al. Nature 599.7883 (2021): 141-146.CrossRefGoogle Scholar
He, Kaiming, et al. Proceedings of the IEEE conference on computer vision and pattern recognition. (2016).Google Scholar
Lane, Ryan, et al. Frontiers in Molecular Biosciences 8 (2021).Google Scholar
Qu, Hui, et al. IEEE transactions on medical imaging 39.11 (2020): 3655-3666.CrossRefGoogle Scholar