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Verified Commit 3de9ff38 authored by Marta Girona Alarcon's avatar Marta Girona Alarcon Committed by GitLab UZH
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delete publication_page_marta with errors

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---
title: 'In vivo Imaging of Central Nervous System Fluid Spaces using Synchrotron Radiation Micro-Computed Tomography'
date: '2024-09-01'
First author: 'Marta Girona Alarcón'
Last author: 'Vartan Kurtcuoglu'
author:
- name: 'Marta Girona Alarcón (first author)'
orcid: 0009-0006-2111-2716
affiliations:
- name: The Interface Group, Institute of Physiology, University of Zurich
- name: 'Vartan Kurtcuoglu (last author)'
orcid: 0000-0003-2665-0995
affiliations:
- name: The Interface Group, Institute of Physiology, University of Zurich
code-fold: true
---
# Set-up images
# Materials and Methods section (extended)
# Supplemental Results
## Experiment 2: CSF spaces segmentation
- add rendering of in vivo CSF spaces (link to Zenodo)
## Experiment 4: Contrast agent dynamics during lateral ventricle influsion
- add movie (link to Zenodo)
## Experiment 6: Cardiac-gated 3D imaging
- add movie (link to Zenodo)
## Experiment 7: Non-periodic ChP movement within the lateral ventricle
- add movie (link to Zenodo)
## Discussion: CSF flow back to the infusion cannula
- add projections movie (link to Zenodo)
<!-- Do not edit below this line !! -->
## Links to protocol pages
```{r}
# | warning: false
library(dplyr)
# This code chunk gathers the rows from tables specified in the inputs
inputs <- read.csv(file = 'input_mice.csv')
# Use data type and facility information to find the path to the relevant protocols
folders <- unique(cbind(inputs$Data_type,inputs$Facility_name_mon_YYYY)) # find table's unique variations of experiment type and facility
paths <- as.data.frame(file.path(apply(folders, 1, paste, collapse = .Platform$file.sep), 'protocols')) #put together the paths
colnames(paths) <- 'Protocols'
# Add HTML code so that it becomes a clickable link
paths$Protocols <- paste0('<a href=\'',paths$Protocols,'\' target=\'_blank\'>', paths$Protocols,'</a>')
file.path(here::here(), apply(folders, 1, paste, collapse = .Platform$file.sep), 'protocols')
# Render table
DT::datatable(paths, options = list(dom = 't'), escape = FALSE, rownames = FALSE, )
```
## Sample information
```{r}
# | warning: false
library(dplyr)
# Take the relevant rows from the tables specified in inputs
data_used <- list()
for (i in 1:nrow(inputs)){
row_filepath <- file.path(here::here(), 'experiments',inputs$Data_type[i], inputs$Facility_name_mon_YYYY[i], inputs$Metadata_file[i])
data_used[[i]] <- read.csv(row_filepath) %>% filter(SubjectID == inputs$SubjectID[i]) # read table and filter subject
}
# Gather list elements in a table
data_used <- do.call(rbind,data_used)
data_used$Subject_pubID <- inputs$Subject_pubID # Add additional input column
# add the subject index for publication as first variable
data_used <- relocate(data_used, Subject_pubID, .before = 1)
#Display table
DT::datatable(data_used, filter = 'top')
```
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