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Commit b3156eb9 authored by Lucy McNeill's avatar Lucy McNeill
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count_foci has separate append_data_frame function

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......@@ -180,31 +180,14 @@ count_foci <- function(img_path, stage = "none", offset_px = 0.2, offset_factor
}
}
percent_px <- sum(overlap)/sum(foci_areas)
### if percent_px too small:
if(annotation == "on"){
cat("\n percentage of foci channel coincident:", percent_px*100, sep = " ")
}
tryCatch({
### data frame stuff
if(grepl( WT_str, img_file, fixed = TRUE) == TRUE){
genotype <- WT_out
}
if(grepl( KO_str, img_file, fixed = TRUE) == TRUE){
genotype <- KO_out
}
df_cells <- append_data_frame(WT_str,KO_str,WT_out,KO_out,img_file,foci_areas,df_cells,cell_count,stage,foci_per_cell,image_mat,percent_px,alone_foci)
if(foci_per_cell < 2){
### force statistics about foci areas to all be zero rather than fail
foci_areas <- c(0,0)
}
### data frame stuff ends
df_cells <- rbind(df_cells,t(c(img_file,cell_count,genotype,stage,foci_per_cell, sd(foci_areas),mean(foci_areas),median(foci_areas),mean(image_mat),median(image_mat),percent_px,sd(image_mat),alone_foci)))
},
error = function(e) {
#what should be done in case of exception?
str(e) # #prints structure of exception
cat("\n something went wrong while making the data frame")
}
)
}
}
colnames(df_cells) <- df_cols
......@@ -247,4 +230,55 @@ annotate_foci_counting <- function(img_file,cell_count,new_img,img_orig_foci,art
plot(rgbImage(strands,coincident_foci,coincident_foci))
}
#' append_data_frame
#'
#' applies new row to data frame
#'
#' @param img_file cell's file name
#' @param cell_count unique cell counter
#' @param KO_str string in filename corresponding to knockout genotype.
#' Defaults to --.
#' @param WT_str string in filename corresponding to wildtype genotype.
#' Defaults to ++.
#' @param KO_out string in output csv in genotype column, for knockout.
#' Defaults to -/-.
#' @param WT_out string in output csv in genotype column, for knockout.
#' Defaults to +/+.
#' @param foci_areas pixel area of each foci
#' @param df_cells current data frame
#' @param stage meiotic stage
#' @param foci_per_cell foci count for cell
#' @param image_mat matrix with all pixel values above zero
#' @param percent_px percentage of foci mask that coincides with strand channel
#' small number indicates potentially problematic image.
#' @param alone_foci estimated number of foci that are NOT on a strand.
#'
#'
append_data_frame <- function(WT_str,KO_str,WT_out,KO_out,img_file,foci_areas,df_cells,cell_count,stage,foci_per_cell,image_mat,percent_px,alone_foci){
tryCatch({
### data frame stuff
if(grepl( WT_str, img_file, fixed = TRUE) == TRUE){
genotype <- WT_out
}
if(grepl( KO_str, img_file, fixed = TRUE) == TRUE){
genotype <- KO_out
}
if(foci_per_cell < 2){
### force statistics about foci areas to all be zero rather than fail
foci_areas <- c(0,0)
}
### data frame stuff ends
df_cells <- rbind(df_cells,t(c(img_file,cell_count,genotype,stage,foci_per_cell, sd(foci_areas),mean(foci_areas),median(foci_areas),mean(image_mat),median(image_mat),percent_px,sd(image_mat),alone_foci)))
},
error = function(e) {
#what should be done in case of exception?
str(e) # #prints structure of exception
cat("\n something went wrong while making the data frame")
}
)
return(df_cells)
}
### annotate when the flag has been raised that
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/count_foci.R
\name{append_data_frame}
\alias{append_data_frame}
\title{append_data_frame}
\usage{
append_data_frame(
WT_str,
KO_str,
WT_out,
KO_out,
img_file,
foci_areas,
df_cells,
cell_count,
stage,
foci_per_cell,
image_mat,
percent_px,
alone_foci
)
}
\arguments{
\item{WT_str}{string in filename corresponding to wildtype genotype.
Defaults to ++.}
\item{KO_str}{string in filename corresponding to knockout genotype.
Defaults to --.}
\item{WT_out}{string in output csv in genotype column, for knockout.
Defaults to +/+.}
\item{KO_out}{string in output csv in genotype column, for knockout.
Defaults to -/-.}
\item{img_file}{cell's file name}
\item{foci_areas}{pixel area of each foci}
\item{df_cells}{current data frame}
\item{cell_count}{unique cell counter}
\item{stage}{meiotic stage}
\item{foci_per_cell}{foci count for cell}
\item{image_mat}{matrix with all pixel values above zero}
\item{percent_px}{percentage of foci mask that coincides with strand channel
small number indicates potentially problematic image.}
\item{alone_foci}{estimated number of foci that are NOT on a strand.}
}
\description{
applies new row to data frame
}
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