Sample Data

Clustered cell nuclei

kozubek's picture
Brief description: 

One of the principal challenges in counting or segmenting cells or cell nuclei is dealing with clustered objects. To help assess algorithms' performance in this regard, synthetic 3D image sets of HL60 cell line are provided consisting of four subsets with increasing degree of clustering. Each subset is also provided in two diferent levels of quality: high SNR and low SNR.Ground truth is available as well. The datasets are part of Masaryk University Cell Image Collection (MUCIC) as well Broad Bioimage Benchmark Collection (BBBC) - entry BBBC024.

Biological object: 
in silico clustered cell nuclei
Task / Annotation description: 
David Svoboda
Many cells
Size (MB): 
11 200
Dimensions of the data: 
X:807 Y:565 Z:30