A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus.

Dávid C, Giber K, Kerti-Szigeti K, Köllő M, Nusser Z, Acsady L

DOI: 10.7554/elife.89361
Published: 2024 Dec 10
Container: eLife
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7554/elife.89361,
  title = {A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus.},
  author = {Dávid C and Giber K and Kerti-Szigeti K and Köllő M and Nusser Z and Acsady L},
  year = {2024},
  journal = {eLife},
  doi = {10.7554/elife.89361},
  url = {https://doi.org/10.7554/elife.89361}
}

RIS

TY  - JOUR
TI  - A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus.
AU  - Dávid C
AU  - Giber K
AU  - Kerti-Szigeti K
AU  - Köllő M
AU  - Nusser Z
AU  - Acsady L
PY  - 2024
JO  - eLife
DO  - 10.7554/elife.89361
UR  - https://doi.org/10.7554/elife.89361
ER  -

APA

C, D., K, G., K, K., M, K., Z, N., & L, A. (2024). A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus.. eLife. https://doi.org/10.7554/elife.89361

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pubmed · retrieved 2026-09-27T07:26:08.786Z