Functions

remove_files(file_dir, delete)	Remove specific files from a given file directory.
move_files(file_dir, target_dir, takeout)	Move specific files from one directory to another.
take_channel(img_dir[, print_image])	Process images from a given directory, creating maximum intensity projections.
save_npy(img_arr, img_name_list, save_location)	Save NumPy arrays as .npy files in the specified location.
save_tif(img_arr, img_name_list, save_location)	Save images as .tif files in the specified location.
apply_and_save_all_thresholds(img_arr, ...)	Apply various thresholding methods and save the results as .tif files.
apply_threshold(img_arr, img_name_list[, ...])	Apply a thresholding method to a list of images and return segmented images.
skeletonize_images(thresh_arr, img_name_list)	Skeletonize a list of binary images and return the skeletonized images.
load_npy_imgs(directory)	Load files from a given directory of .npy files.
load_tif_imgs(directory)	Load files from a given directory of .tif files.
get_skel_df(skel_arr, skel_name_list[, show])	Process a list of skeletonized images, extract properties, and display branch types.
display_img_side(array1, array2, index, ...)	Display two images side by side for visual comparison.