Semantic Scholar Open Access 2016 102 sitasi

Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data

Sophie V. Pageon P. Nicovich Mahdie Mollazade T. Tabarin K. Gaus

Lihat Sumber DOI

Abstrak

Despite the increasingly widespread use of single-molecule localization microscopy (SMLM) in biology, the extent to which the spatial organization of proteins influences signaling is not easy to quantify. Clus-DoC is a novel analysis method that combines cluster detection and colocalization analysis for SMLM data.

Topik & Kata Kunci

Medicine Biology

Penulis (5)

Sophie V. Pageon

P. Nicovich

Mahdie Mollazade

T. Tabarin

K. Gaus

Format Sitasi

APA MLA BibTeX

Pageon, S.V., Nicovich, P., Mollazade, M., Tabarin, T., Gaus, K. (2016). Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data. https://doi.org/10.1091/MBC.E16-07-0478

Akses Cepat

Lihat di Sumber doi.org/10.1091/MBC.E16-07-0478

Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Total Sitasi: 102×
Sumber Database: Semantic Scholar
DOI: 10.1091/MBC.E16-07-0478
Akses: Open Access ✓