Mapping the spatiotemporal dynamics of calcium signaling in cellular neural networks using optical flow.
Ann Biomed Eng
; 38(8): 2520-31, 2010 Aug.
Article
em En
| MEDLINE
| ID: mdl-20300851
ABSTRACT
An optical flow gradient algorithm was applied to spontaneously forming networks of neurons and glia in culture imaged by fluorescence optical microscopy in order to map functional calcium signaling with single pixel resolution. Optical flow estimates the direction and speed of motion of objects in an image between subsequent frames in a recorded digital sequence of images (i.e., a movie). Computed vector field outputs by the algorithm were able to track the spatiotemporal dynamics of calcium signaling patterns. We begin by briefly reviewing the mathematics of the optical flow algorithm, and then describe how to solve for the displacement vectors and how to measure their reliability. We then compare computed flow vectors with manually estimated vectors for the progression of a calcium signal recorded from representative astrocyte cultures. Finally, we applied the algorithm to preparations of primary astrocytes and hippocampal neurons and to the rMC-1 Muller glial cell line in order to illustrate the capability of the algorithm for capturing different types of spatiotemporal calcium activity. We discuss the imaging requirements, parameter selection and threshold selection for reliable measurements, and offer perspectives on uses of the vector data.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Cálcio
/
Redes Neurais de Computação
/
Sinalização do Cálcio
/
Dispositivos Ópticos
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Ann Biomed Eng
Ano de publicação:
2010
Tipo de documento:
Article
País de afiliação:
Estados Unidos