tractatus

void createWeb::run(cv::Mat& sourceImage, cv::Mat& dstImage){
  int tiers;
  int height = sourceImage.rows;
  int width = sourceImage.cols;

  int maxdim = (width > height ? width : height);
  tiers = (int)log2(maxdim/256);

  if((maxdim/pow(2, tiers))>256){

tractatus

brew install python3

brew install coreutils
brew tap caskroom/cask
brew cask install cuda

nano ~/.bash_profile

#paste in the following

tractatus

library(rstan)

gaussianMM<-'
data {  
  int K;
  int N;
  real x[N];
}

parameters {

tractatus

################################
#	(c) Daniel Fürth, 2016
#	Spatial Transcriptomics with WholeBrain
################################

#set the anterior poster coordinate of brin section in millimeter
coordinate.for.section<- -0.42

#set filter for Cy3 spots
feature.filter <-structure(list(alim = c(120, 1000), threshold.range = c(14L, 255

tractatus

library(wholebrain)

#set folder path
folder<-'/Users/danielfurth/Desktop/an_example_animal/section001'

#find out how many images we have and their location
images<-get.images(folder)
length(images)

#stitch this image