S-BIAD634:IM4alpha
dataset/singlecell_groundtruth/normal_39singlemask.tif
Study Title: An annotated fluorescence image dataset for training nuclear segmentation methods
By: Sabine Taschner-Mandl, Inge M. Ambros, Peter F. Ambros, Klaus Beiske, Allan Hanbury, Wolfgang Doerr, Tamara Weiss, Maria Berneder, Magdalena Ambros, Eva Bozsaky, Florian Kromp, Teresa Zulueta-Coarasa
Organism: Homo sapiens
License: CC0
Image metadata
Image Dimensions : 1360 x 1024 Number of Channels : 1
Number of Time Points : 1
Title : Segmentation masks
big_endian : True
channels :
{
id: Channel:0:0,
color: white,
samples_per_pixel: 1
}
{
id: Channel:0:0,
color: white,
samples_per_pixel: 1
}
dimension_order : XYZCT
download_size : 5.3MiB
file description : Groundtruth for randomly selected nuclei of the testset (25 nuclei per testset class, a subset of all nuclei of the testset classes; human experts can compete with this low number of nuclei per subset by calculating Dice coefficients between their annotations and the groundtruth annotations)
interleaved : False
metadata_only : True
physical_size_x : 1.0
physical_size_x_unit : µm
physical_size_y : 1.0
physical_size_y_unit : µm
significant_bits : 32
size_c : 1
size_t : 1
size_x : 1360
size_y : 1024
size_z : 1
source image : dataset/rawimages/normal_39.tif
type : int32