Publication Classification:

Segmentation Method = Watershed

Segmentation Acceleration = Single core CPU

• "Held M, Schmitz MH a, Fischer B, Walter T, Neumann B, Olma MH, Peter M, Ellenberg J, Gerlich DW: CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging. Nat. Methods 2010, 7:747–54."

• "Hodneland E, Bukoreshtliev N V, Eichler TW, Tai X-C, Gurke S, Lundervold A, Gerdes H-H: A unified framework for automated 3-d segmentation of surface-stained living cells and a comprehensive segmentation evaluation. IEEE Trans Med Imaging 2009, 28:720–38."

• "Hua J, Sima C, Cypert M, Gooden GC, Shack S, Alla L, Smith E a, Trent JM, Dougherty ER, Bittner ML: Tracking transcriptional activities with high-content epifluorescent imaging. J Biomed Opt 2012, 17:046008."

• "Lin G, Adiga U, Olson K, Guzowski JF, Barnes C a, Roysam B: A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks. Cytometry A 2003, 56:23–36."

• "Wählby, C.; Sintorn, I.-M.; Erlandsson, F.; Borgefors, G.; Bengtsson, E.: Combining intensity , edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. J Microsc 2004, 215(January):67–76."

• "Zhou X, Li F, Yan J, Wong STC: A novel cell segmentation method and cell phase identification using Markov model. IEEE Trans Inf Technol Biomed 2009, 13:152–7."

Survey publication disclaimer:

The National Institute of Standards and Technology (NIST) uses substantial efforts to select publications that meet the publication survey criteria. However, NIST makes no warranties that the survey is exhaustive. The survey and its contents are provided by NIST as a public service and are strictly provided "AS IS" with no warranties of any type. Furthermore, NIST does not make any statements about quality of publications by including them in the survey classification and does not imply any recommendation or endorsement.