One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set consists of five subsets with increasing degree of clustering.
Images
Five subsets of 20 images each are provided. Each image contains 300 objects, but the objects overlap and cluster with different probabilities in the five subsets. The images were generated with the SIMCEP simulating platform for fluorescent cell population images (Lehmussola et al., IEEE T. Med. Imaging, 2007 and Lehmussola et al., P. IEEE, 2008).
"We used image set BBBC004v1 [Ruusuvuori et al., in Proc. of the 16th European Signal Processing Conference (EUSIPCO-2008), 2008] from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012]."