TY - JOUR
T1 - Motility flow and growth-cone navigation analysis during in vitro neuronal development by long-term bright-field imaging
AU - Aviv, Maya Shalev
AU - Pesce, Mattia
AU - Tilve, Sharada
AU - Chieregatti, Evelina
AU - Zalevsky, Zeev
AU - Difato, Francesco
PY - 2013/11
Y1 - 2013/11
N2 - A long-term live-imaging workstation to follow the development of cultured neurons during the first few days in vitro (DIV) is developed. In order to monitor neuronal polarization and axonal growth by live imaging, we built a micro-incubator system that provides stable temperature, pH, and osmolarity in the culture dish under the microscope, while preserving environment sterility. We are able to image living neurons at 2 DIVs for 48 h with a temporal resolution of one frame for every 2 min. The main features of this system are its ability to adapt to every cell-culture support, to integrate in any optical microscope, because of the relatively small dimensions (9.5 × 6.5 × 2.5 cm) and low weight of the system (>200 g), and to monitor the physiological parameters in situ. Moreover, we developed an image-analysis algorithm to quantify the cell motility, in order to characterize its complex temporal-spatial pattern. The algorithm applies morphological image processing operations on the temporal variations occurring in the inspected region of interest. Here, it is used to automatically detect cellular motility in three distinct morphological regions of the neurons: around the soma, along the neurites, and in the growth cone.
AB - A long-term live-imaging workstation to follow the development of cultured neurons during the first few days in vitro (DIV) is developed. In order to monitor neuronal polarization and axonal growth by live imaging, we built a micro-incubator system that provides stable temperature, pH, and osmolarity in the culture dish under the microscope, while preserving environment sterility. We are able to image living neurons at 2 DIVs for 48 h with a temporal resolution of one frame for every 2 min. The main features of this system are its ability to adapt to every cell-culture support, to integrate in any optical microscope, because of the relatively small dimensions (9.5 × 6.5 × 2.5 cm) and low weight of the system (>200 g), and to monitor the physiological parameters in situ. Moreover, we developed an image-analysis algorithm to quantify the cell motility, in order to characterize its complex temporal-spatial pattern. The algorithm applies morphological image processing operations on the temporal variations occurring in the inspected region of interest. Here, it is used to automatically detect cellular motility in three distinct morphological regions of the neurons: around the soma, along the neurites, and in the growth cone.
KW - Neuronal development
KW - differential imaging
KW - growth-cone navigation
KW - long-term live imaging
KW - micro-incubator
KW - neural tracing
UR - http://www.scopus.com/inward/record.url?scp=84887855060&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.18.11.111415
DO - 10.1117/1.JBO.18.11.111415
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C2 - 24057157
AN - SCOPUS:84887855060
SN - 1083-3668
VL - 18
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 11
M1 - 111415
ER -