Axonal Bouton Structural Plasticity Measurements from Mouse Cortex

This dataset supports a methodology for detecting structural changes in axonal boutons using time-lapse two-photon laser scanning microscopy. The method was validated with correlative 2PLSM and 3D electron microscopy in mouse barrel cortex, showing low false positive/negative detection rates and a high correlation (r=0.93) between 2PLSM-based bouton weights and EM-measured volumes. It includes data used to construct a probabilistic model for quantifying bouton addition, elimination, and size changes.

Use Cases

• Validate bouton detection algorithms using the reported false positive/negative rates from correlative 2PLSM and EM analysis.
• Correlate 2PLSM-based bouton weight measurements with EM-measured volumes using the provided validation correlation coefficient (r=0.93).
• Apply the probabilistic model to quantify significant structural changes in boutons from long-term in vivo imaging experiments.
• Analyze measurement uncertainty in axonal bouton imaging using data from axons imaged in quick succession.

Strengths

• Method validation includes correlative 2PLSM and 3D EM analysis on mouse barrel cortex samples.
• Reported low false detection rates (2 false positives, 0 false negatives out of 18 boutons).
• High correlation (r=0.93) between 2PLSM-based bouton weights and their EM-measured volumes.

Limitations

• The specific dataset size, file formats, and column structure are not provided in the input.
• Data is focused on a specific methodology and region (mouse barrel cortex), limiting generalizability.
• The last update was in June 2020, which may affect temporal relevance for newer techniques.

Provenance

Source

Dryad, authored by Rohan Gala.

Collection Method

Data generated from time-lapse two-photon laser scanning microscopy (2PLSM) and correlative 3D electron microscopy (EM) of mouse barrel cortex.

Freshness

Last updated 2020-06-30.

Geography

Mouse barrel cortex.