ConductVision · Behavioral Analysis

C. elegans Locomotion & Crawling

Markerless tracking of crawling speed, sinusoidal body waveform, and body-bend frequency for C. elegans motor-function and neurodegeneration assays.

C. elegansLocomotionAuto Export
ConductVision / C. elegans Locomotion & Crawling
Recording / Trial 3worm tracked
Speed0.21mm·s⁻¹
Wavelength0.62mm
Bend Freq0.45Hz

Key Parameters

Metrics automatically extracted by ConductVision.

Crawling Speed

Centroid velocity during forward locomotion on agar, reported in mm/s with per-minute time bins.

Body-Bend Frequency

Rate of dorsoventral body bends, the standard read-out of undulatory motor output.

Wavelength

Spatial period of the sinusoidal crawling wave along the body, normalized to body length.

Bending Amplitude

Peak lateral excursion of the midbody, sensitive to neuromuscular and cuticle phenotypes.

Forward / Reverse Ratio

Proportion of time in forward versus backward locomotion, an index of motor-circuit balance.

+ 6 more parameters trackedShow all

Path Curvature

Tortuosity of the centroid track, distinguishing smooth crawling from looping or coiling.

Roaming / Dwelling Fraction

Time split between long directed runs (roaming) and localized exploration (dwelling).

Mean Track Length

Total path distance over the recording session.

Pause Frequency

Rate of locomotor pauses per minute, reflecting arousal and motor drive.

Wave Propagation Speed

Velocity at which the bending wave travels along the body, linked to propulsion efficiency.

Posture Variability

Spread of body-curvature postures, summarizing the animal’s movement repertoire (eigenworm-style analysis).

What is C. elegans Locomotion Analysis?

C. elegans crawls on agar by propagating a dorsoventral sinusoidal wave along its body, generated by alternating contraction of dorsal and ventral body-wall muscles under control of a well-defined ventral-nerve-cord motor circuit. Brenner’s (1974) foundational genetic screen named the large class of "uncoordinated" (unc) mutants by exactly these locomotor defects, and crawling has remained the most-scored phenotype in worm genetics because speed, waveform and bend frequency are sensitive to a huge range of perturbations.

Quantitative descriptors of the gait — wavelength, amplitude, body-bend frequency and the forward/reverse balance — report on neuromuscular junction function, muscle and cuticle integrity, and the activity of the locomotor command circuit. Because human disease-related genes are conserved in the worm, crawling read-outs are central to C. elegans models of Parkinson-related and motor-neuron degeneration, where progressive slowing and waveform breakdown serve as tractable phenotypes.

ConductVision extracts the full body posture from markerless video, fitting a midline spline to each animal frame-by-frame so that wavelength, amplitude, wave propagation speed and bend frequency are measured directly rather than inferred from the centroid alone. Multiple animals are tracked simultaneously with identity preservation, and posture-space (eigenworm-style) summaries capture the movement repertoire for population comparisons.

The assay underpins motor-circuit neuroscience, neurodegeneration modeling and compound screening, and it scales readily because a single plate yields many tracked animals. Agar firmness, temperature, and time off food all shift baseline locomotion, so these conditions should be standardized across plates and replicates.

Key Parameters

ParameterTypical range
SubstrateNGM agar plate, with or without bacterial lawn
StageYoung adult
Recording duration1–10 min
Frame rate10–30 fps
Spatial resolution≥10 µm/pixel for posture fitting
Temperature20–22 °C

Interpreting the Results

Crawling Speed

Motor deficit, neurodegeneration, or compound-induced impairment.

Bending Amplitude

Neuromuscular or muscle/cuticle dysfunction.

Forward / Reverse Ratio

Shifted command-circuit balance favoring forward runs.

Applications

Motor neuroscience

  • Ventral-cord motor-circuit function
  • Neuromuscular junction phenotyping
  • unc mutant characterization

Disease modeling

  • Parkinson-related dopaminergic models
  • Motor-neuron degeneration models
  • Progressive-decline time courses

Screening

  • Compound effects on locomotion
  • Muscle and cuticle mutant screens
  • High-throughput genetic screens

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