Muscle Cell Imaging
Muscle Cell Imaging - Related Videos
09:24
Molecular Imaging to Target Transplanted Muscle Progenitor Cells
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Cited by 3 •
2013
A non-invasive means to evaluate the success of myoblast transplantation is described. The method takes advantage of a unified fusion reporter gene composed of genes whose expression can be imaged with different imaging modalities. Here, we make use of a fluc reporter gene sequence to target cells via bioluminescence imaging.
08:43
Calcification of Vascular Smooth Muscle Cells and Imaging of Aortic Calcification and Inflammation
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Cited by 28 •
2016
Vascular calcification is an important predictor of and contributor to human cardiovascular disease. This protocol describes methods for inducing calcification of cultured primary vascular smooth muscle cells and for quantifying calcification and macrophage burden in animal aortas using near-infrared fluorescence imaging.
14:18
Fluorescence-based Measurement of Store-operated Calcium Entry in Live Cells: from Cultured Cancer Cell to Skeletal Muscle Fiber
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Cited by 19 •
2012
The extent of store-operated Ca2+ entry (SOCE) can be monitored using fluorescent Ca2+ indicators. Mn2+ quenching of such indicators assays SOCE in cultured cells and skeletal muscle fibers. A technique allowing spatial and temporal resolution of SOCE by confocal imaging of mechanically skinned muscle fibers is also described.
09:30
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Cited by 8 •
2016
Neuromuscular diseases often exhibit a temporally varying, spatially heterogeneous, and multi-faceted pathology. The goal of this protocol is to characterize this pathology using non-invasive magnetic resonance imaging methods.
08:33
In Vivo Imaging of Muscle-tendon Morphogenesis in Drosophila Pupae
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Cited by 17 •
2018
Here, we present an easy-to-use and versatile method to perform live imaging of developmental processes in general and muscle-tendon morphogenesis in particular in living Drosophila pupae.
FAQs
Calcium dynamics provide a readout of how muscle cells respond over time to stimulation. Imaging these changes alongside cellular shape and contractile organization helps connect an incoming signal with the muscle cell’s internal response. In neuroscience research, that relationship is useful for examining how neural activity is translated into cellular events rather than considering muscle structure in isolation.
Time-lapse imaging shows how muscle cells and their internal features change over time, allowing researchers to relate cellular events to neural signals. This temporal information can reveal activity-dependent remodeling that a single image might miss. It is therefore valuable for connecting stimulation with changing organization, signaling, or interactions between muscle cells and neighboring cells.
Quantitative image analysis converts observed features into measurements that can be compared across conditions. Researchers can evaluate changes in cell shape, contractile organization, calcium dynamics, or interactions with neighboring cells. These measurements may reveal altered signaling or structure and help link microscopic observations with broader questions about movement, development, and muscle repair.
A study may examine muscle cell shape, the organization of contractile structures, calcium dynamics, and interactions with neighboring cells. Light microscopy or fluorescence microscopy can capture these features, while time-lapse acquisition follows their changes after stimulation. Combining structural and dynamic measurements provides a broader view of how muscle function is organized at the cellular level.
Muscle Cell Imaging supports investigation of neuromuscular junctions, where neural signals are examined in relation to muscle-cell responses. Imaging can connect cellular organization and calcium changes with activity associated with motor neuron control. This provides a cellular perspective on how communication between neural and muscle systems contributes to functional organization and activity-dependent remodeling.
In neuroscience, this approach can be used to study muscle disease, motor neuron control, development, and repair. Structural and signaling measurements may show how muscle cells change under different biological conditions, while time-lapse observations can follow remodeling over time. The resulting cellular evidence helps relate altered organization or signaling to movement and recovery-related processes.