Cargando…
Correcting for the hemoglobin absorption artifact in fiber photometry data
Fiber photometry is a widely used fluorescence approach for measuring neuronal activity in freely behaving animals; however, these signals can be contaminated by hemoglobin absorption artifacts. Zhang et al. propose a computational method to quantify and correct hemoglobin photon absorption effects...
Autores principales: | Zhang, Run, Kim, Christina K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308156/ https://www.ncbi.nlm.nih.gov/pubmed/35880019 http://dx.doi.org/10.1016/j.crmeth.2022.100257 |
Ejemplares similares
-
Data-driven assessment of dimension reduction quality for single-cell omics data
por: Dong, Xiaoru, et al.
Publicado: (2022) -
Data Sharing in a Time of Pandemic
por: Callaghan, Sarah
Publicado: (2020) -
Bringing FAIRness to FDA data through visualization
por: Espinoza Salomon, Juan
Publicado: (2023) -
Digital data donations: A quest for best practices
por: Ohme, Jakob, et al.
Publicado: (2022) -
Overcoming the Data Gap for the Remote Diagnosis of Skin Cancer
por: Farajnia, Sahar
Publicado: (2020)