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In vivo Neuronal Calcium Imaging in C. elegans
Published on: April 10, 2013
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Pan-neuronal imaging in roaming Caenorhabditis elegans
Vivek Venkatachalam1, Ni Ji2, Xian Wang2
1Department of Physics, Harvard University, Cambridge, MA 02138; Center for Brain Science, Harvard University, Cambridge, MA 02138; vivek@physics.harvard.edu samuel@physics.harvard.edu.
Summary
We developed a novel imaging system for whole-brain neuron activity recording in the nematode Caenorhabditis elegans. This system maps neural dynamics to locomotion and sensory inputs, advancing neuroscience research.
Area of Science:
- Neuroscience
- Biophysics
- Microscopy
Background:
- Understanding neural circuits requires observing neuronal activity in behaving animals.
- Caenorhabditis elegans is a model organism with a well-characterized nervous system.
- Existing methods for neuronal recording have limitations in speed and scope.
Purpose of the Study:
- To develop an advanced imaging system for pan-neuronal recording in crawling Caenorhabditis elegans.
- To correlate neural activity with animal behavior and sensory input.
- To facilitate the mapping of sensory-motor transformations.
Main Methods:
- A modified spinning disk confocal microscope was used for automated tracking of C. elegans head ganglia.
- Simultaneous recording of cytoplasmic calcium indicator (GCaMP6s) and nuclear localized red fluorescent protein in ~80 neurons.
- Development of a behavioral analysis algorithm and image registration software for neuron identification and signal calculation.
- Analysis of brainwide activity patterns in response to thermosensory inputs.
Main Results:
- The system successfully recorded activity and position of approximately 80 neurons at 10 volumes per second.
- A behavioral analysis algorithm mapped head ganglia movements to animal posture and locomotion.
- Image registration software enabled automatic indexing and calcium signal calculation for individual neurons.
- The setup revealed representations of sensory input and motor output from brainwide dynamics in moving worms.
Conclusions:
- The developed imaging system and analysis pipeline enable comprehensive neuronal recording in behaving C. elegans.
- This approach can map neural circuits underlying sensory-to-motor transformations.
- The system has potential applications for studying other transparent model organisms like Drosophila larvae.

