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Load classifications from existing MAT annotation file

Source: R/sample_loading.R
load_from_mat.Rd

Reads a MATLAB annotation file (created by ClassiPyR or ifcb-analysis) and converts class indices to class names using the provided class list.

Usage

load_from_mat(mat_path, sample_name, class2use, roi_dimensions)

Arguments

mat_path

Path to MAT file

sample_name

Sample name (e.g., "D20230101T120000_IFCB134")

class2use

Character vector of class names (from class2use file)

roi_dimensions

Data frame from read_roi_dimensions

Value

Data frame with columns: file_name, class_name, score, roi_area

Examples

if (FALSE) { # \dontrun{
# Load existing annotations
dims <- read_roi_dimensions("/data/raw/2023/D20230101/D20230101T120000_IFCB134.adc")
class2use <- load_class_list("/data/class2use.mat")
classifications <- load_from_mat(
  mat_path = "/data/manual/D20230101T120000_IFCB134.mat",
  sample_name = "D20230101T120000_IFCB134",
  class2use = class2use,
  roi_dimensions = dims
)
head(classifications)
} # }