| Paper: | PS-2A.45 |
| Session: | Poster Session 2A |
| Location: | Symphony/Overture |
| Session Time: | Friday, September 7, 17:15 - 19:15 |
| Presentation Time: | Friday, September 7, 17:15 - 19:15 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
Quantifying the effect of staining methods on extracted neuron morphology |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1248-0 |
| Authors: |
Roozbeh Farhoodi, Benjamin Lansdell, Konrad Kording, University of Pennsylvania, United States |
| Abstract: |
The process through which neurons are probed and labeled for imaging is a key methodological choice in quantifying neuron morphology. However, little is known about how this choice may create biases in morphometrics. Here, we compare a large number of morphological features amongst samples collected from the same species, brain region, and cell-type. This allows us to identify differences in morphologies that can only be attributed to differences in experimental methods. In particular, we select four popular staining methods and compare each pair of them across different regions of the adult mouse brain. We find that all methods disagree in some respects when we look at the morphometry of the neurons. We propose that one explanation for this difference is the bias toward some cell types of neurons when one particular staining methods is being used. Our result indicates the importance of the choice of staining methods for studying neuronal morphology, and suggests that more experimental detail is needed to allow analysis across large datasets of neuron morphology. |
