Publication Classification:

Segmentation Evaluation = Object-level evaluation

Segmentation Acceleration = Single core CPU

• "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."

• "Huth J, Buchholz M, Kraus JM, Schmucker M, von Wichert G, Krndija D, Seufferlein T, Gress TM, Kestler H a: Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system. BMC Cell Biol 2010, 11:24."

• "Indhumathi C, Cai YY, Guan YQ, Opas M: An automatic segmentation algorithm for 3D cell cluster splitting using volumetric confocal images. J Microsc 2011, 243:60–76."

• "Li K, Miller ED, Chen M, Kanade T, Weiss LE, Campbell PG: Cell population tracking and lineage construction with spatiotemporal context. Med Image Anal 2008, 12:546–66."

• "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."

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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.