Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data.
Elife
; 72018 02 22.
Article
en En
| MEDLINE
| ID: mdl-29469809
ABSTRACT
In vivo calcium imaging through microendoscopic lenses enables imaging of previously inaccessible neuronal populations deep within the brains of freely moving animals. However, it is computationally challenging to extract single-neuronal activity from microendoscopic data, because of the very large background fluctuations and high spatial overlaps intrinsic to this recording modality. Here, we describe a new constrained matrix factorization approach to accurately separate the background and then demix and denoise the neuronal signals of interest. We compared the proposed method against previous independent components analysis and constrained nonnegative matrix factorization approaches. On both simulated and experimental data recorded from mice, our method substantially improved the quality of extracted cellular signals and detected more well-isolated neural signals, especially in noisy data regimes. These advances can in turn significantly enhance the statistical power of downstream analyses, and ultimately improve scientific conclusions derived from microendoscopic data.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Grabación en Video
/
Procesamiento de Imagen Asistido por Computador
/
Encéfalo
/
Señalización del Calcio
/
Endoscopía
/
Neuronas
Límite:
Animals
Idioma:
En
Revista:
Elife
Año:
2018
Tipo del documento:
Article
País de afiliación:
Estados Unidos