A deep learning approach to identifying immunogold particles in electron microscopy images
Abstract Electron microscopy (EM) enables high-resolution visualization of protein distributions in biological tissues. For detection, gold nanoparticles are typically used as an electron-dense marker for immunohistochemically labeled proteins. Manual annotation of gold particle labels is laborious...
Guardado en:
Autores principales: | Diego Jerez, Eleanor Stuart, Kylie Schmitt, Debbie Guerrero-Given, Jason M. Christie, Naomi Kamasawa, Michael S. Smirnov |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5a0c7fe657b7450eb58edf43c22c8435 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
por: Blesson George, et al.
Publicado: (2021) -
Resolution enhancement in scanning electron microscopy using deep learning
por: Kevin de Haan, et al.
Publicado: (2019) -
A general mechanism of ribosome dimerization revealed by single-particle cryo-electron microscopy
por: Linda E. Franken, et al.
Publicado: (2017) -
DeepACSON automated segmentation of white matter in 3D electron microscopy
por: Ali Abdollahzadeh, et al.
Publicado: (2021) -
Structure of the human cation–chloride cotransporter NKCC1 determined by single-particle electron cryo-microscopy
por: Xiaoyong Yang, et al.
Publicado: (2020)