List of Data Sets
|identifier||Preview||has imaging details||has biological terms||has format||has Ground truth|
Diverse microscopes (mostly light microscopy, but some electronic microscopy as well). SSBD tries to store and curate 4D datasets, ie images that are 3D together with time element.
It also stores all the qualitative data (i.e. segmented data or ROIs) separately as numerical datasets. Quantitative data are represented by using a unified data format, the Biological Dynamics Markup Language.
The dataset contains ground truth annotation for the segmentation of the nuclei.
Some have ground Truth available, such as the BBBC Broad Bioimage Benchmark Collection.
Immunofluorescent sections were imaged on a Nikon AR1 confocal or Nikon Widefield CCD Microscope. Each confocal image is a composite of maximum projections, derived from stacks of optical sections.
|Muscle Stem Cells, Muscle||tiff||
NO. Data used to exemplify muscleQNT: Muscle fiber counting
There are 15 images. The images were acquired using a Nikon Eclipse TE200 microscope with a 20x, 0.45 NA objective lens and a 0.52 NA condenser lens, and are provided courtesy of the W.M. Keck 3D Fusion Microscope Facility at Northeastern University. Each image contains 640 x 480 pixels with an approximate size of 0.42 x 0.42 μm.
For the purpose of collecting ground truth, the samples were Hoechst-stained and imaged by confocal microscopy, and the cells were counted by a simple human. A tab-delimited text file contains cell counts in each of the 15 images.
Two-photon imaging was performed using a galvanometer-based scanning system (Prairie Technologies, acquired by Bruker Inc.) on an Olympus BX61WI equipped with 60X water immersion objective (0.9 NA), using a Ti:sapphire laser (Coherent Inc.) controlled by PrairieView software at 910 nm. Z-stacks (0.3 μm axial spacing) from secondary or tertiary dendrites from CA1 neurons were collected every 5 min for up to 4 h. The field of view was 19.8 × 19.8 μm at 1024 × 1024 pixels.
Annotated data and mask labels provided
The dataset was generated using the virtual microscope imitating the microscope Zeiss S100 (objective Zeiss 63x/1.40 Oil DIC) attached to confocal unit Atto CARV and CCD camera Micromax 1300-YHS.
Ground Truth is provided as binary masks.
The dataset was generated using the virtual microscope imitating the microscope Zeiss S100 (objective Zeiss 63x/1.40 Oil DIC) attached to confocal unit Atto CARV and CCD camera Micromax 1300-YHS
|nuclei, HL60 cells||tiff||
Ground Truth is provided as segmentation mask.
|1571||plant, textiles, minerals|
histopathology images - 700X460 pixels,RGB 8-bit images stored as PNG
|breast cancer, histopathology||
Image patch classified as benign or malignant
The Ground truth is denoted using landmarks - key points that are marked consistently for each set of images with different stains.
There are 10 fields of view of each sample, for a total of 50 fields of view. The images were acquired on a Zeiss Axiovert 200M microscope. The images provided here are a single channel, DNA. The image size is 512 x 512 pixels. The images are provided as 8-bit TIFF files.
|Drosophila melanogaster, RNAi||tiff||
A tab-delimited text file contains the number of cells in each image, as determined by two different human counters. To compare an algorithm's results to these, first compute for each sample the algorithm's mean cell count over the 10 images of the sample. Next, calculate the absolute difference between this mean and the average of the humans' counts for the sample, then divide by the latter to obtain the deviation from ground truth (in percent). The mean of these values over all 5 samples is the final result.
Note: The two human observers vary by 16% for this image set.
Imaging varies by neuron type and species, includes:
Manually traced digital neural reconstructions,
Serial section Transmission Electron Microscopy (ssTEM).
|1143||plant virurs, leaf infection|
|1131||Arabidopsis thaliana seedlings||jpg|
Bright field microscopy