Publication Classification:

Imaging Modality = Confocal fluorescence

• "Bajcsy P, Lee S-C, Lin a, Folberg R: Three-dimensional volume reconstruction of extracellular matrix proteins in uveal melanoma from fluorescent confocal laser scanning microscope images. J Microsc 2006, 221(Pt 1):30–45."

• "Delgado-Gonzalo R, Chenouard N, Unser M: Spline-based deforming ellipsoids for interactive 3D bioimage segmentation. IEEE Trans Image Process 2013, 22:3926–3940."

• "Du C-J, Hawkins PT, Stephens LR, Bretschneider T: 3D time series analysis of cell shape using Laplacian approaches. BMC Bioinformatics 2013, 14:296."

• "Dzyubachyk O, Niessen W, Meijering E: Advanced Level-Set Based Multiple-Cell Segmentation and Tracking In Time-Lapse Fluorescence Microscopy Images. In Proceedings of the 5th IEEE Int. Symp. IEEE In Biomed. Imaging From Nano to Macro. IEEE Computer Society; 2008:185–188."

• "Dzyubachyk O, van Cappellen W a., Essers J, Niessen W, Meijering E: Energy minimization methods for cell motion correction and intracellular analysis in live-cell fluorescence microscopy. In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Ieee; 2009:1127–1130."

• "Dzyubachyk O, Van Cappellen WA, Essers J, Niessen WJ, Meijering E: Advanced level-set-based cell tracking in time-lapse fluorescence microscopy. IEEE Trans Med Imaging 2010, 29:852–867."

• "Eck S, Rohr K, Biesdorf A, Katharina M-O, Rippe K, Stefan W: A 3D Intensity Model Based on Spherical Harmonics For Automatic 3D Segmentation of Heterochromatin Foci. In 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. San Francisco; 2013:1484–1487."

• "Herberich G, Windoffer R, Leube R, Aach T: 3D segmentation of keratin intermediate filaments in confocal laser scanning microscopy. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Boston, MA: IEEE EMBS; 2011:7751–4."

• "Himeno-Ando A, Izumi Y, Yamaguchi A, Iimura T: Structural differences in the osteocyte network between the calvaria and long bone revealed by three-dimensional fluorescence morphometry, possibly reflecting distinct mechano-adaptations and sensitivities. Biochem Biophys Res Commun 2012, 417:765–70."

• "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."

• "Hu Y, Osuna-Highley E, Hua J, Nowicki TS, Stolz R, McKayle C, Murphy RF: Automated analysis of protein subcellular location in time series images. Bioinformatics 2010, 26:1630–6."

• "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."

• "Juba D, Cardone A, Ip CY, Simon Jr. CG, Tison CK, Kumar G, Brady M, Varshney A: Parallel Geometric Classification of Stem Cells by Their 3D Morphology. Comput Sci Discov 2013, 6."

• "Kerschnitzki M, Kollmannsberger P, Burghammer M, Duda GN, Weinkamer R, Wagermaier W, Fratzl P: Architecture of the osteocyte network correlates with bone material quality. J Bone Miner Res 2013, 28:1837–45."

• "Krausz E, de Hoogt R, Gustin E, Cornelissen F, Grand-Perret T, Janssen L, Vloemans N, Wuyts D, Frans S, Axel A, Peeters PJ, Hall B, Cik M: Translation of a Tumor Microenvironment Mimicking 3D Tumor Growth Co-culture Assay Platform to High-Content Screening. J Biomol Screen 2012."

• "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."

• "Lin G, Chawla MK, Olson K, Barnes CA, Guzowski JF, Bjornsson C, Shain W, Roysam B: A multi-model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images. Cytom Part A 2007, 71:724–736."

• "Lou X, Kang M, Xenopoulos P, Muñoz-Descalzo S, Hadjantonakis A-K: A Rapid and Efficient 2D/3D Nuclear Segmentation Method for Analysis of Early Mouse Embryo and Stem Cell Image Data. Stem cell reports 2014, 2:382–97."

• "McCullough DP, Gudla PR, Harris BS, Collins J a, Meaburn KJ, Nakaya M a, Yamaguchi TP, Misteli T, Lockett SJ: Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming. IEEE Trans Med Imaging 2008, 27:723–34."

• "Mosaliganti K, Cooper L: Reconstruction of cellular biological structures from optical microscopy data. IEEE Trans Vis Comput Graph 2008, 14:863–876."

• "Oh JH, Gertych A, Tajbakhsh J: Nuclear DNA Methylation and Chromatin Condensation Phenotypes Are Distinct Between Normally Proliferating / Aging , Rapidly Growing / Immortal , and Senescent Cells ABSTRACT :. Oncotarget 2013, 4:474–493."

• "Padfield DR, Rittscher J, Sebastian T, Thomas N, Roysam B: Spatio-Temporal Cell Cycle Analysis Using 3D Level Set Segmentation of Unstained Nuclei in Line Scan Confocal Fluorescence Images. 3rd IEEE Int Symp Biomed Imaging Macro to Nano, 2006 :1036–1039."

• "Peng T, Murphy RF: Image-derived, three-dimensional generative models of cellular organization. Cytometry. A 2011, 79:383–91."

• "Pop S, Dufour A, Garrec J Le, Ragni C V, Buckingham ME, Meilhac SM, Olivo-Marin J-C: A Fast and Automated Framework for Extraction of Nuclei From Cluttered 3D Images in Fluorescence Microscopy. In 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro; 2011(Ptr 335):2113–2116."

• "Russell RA, Adams NM, Stephens DA, Batty E, Jensen K, Freemont PS: Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture. Biophys J 2009, 96:3379–89."

• "Singh S, Raman S, Rittscher J, Machiraju R: Segmentation Evaluation for Fluorescence Microscopy Images of Biological Objects. In MIAAB 2009 International Workshop Proceedings; 2009:1–5."

• "Srinivasa G, Fickus M, Kova?evi? J: Active Contour-Based Multiresolution Transforms for the Segmentation of Fluorescence Microscope Images. In Proc. SPIE. edited by Van De Ville D, Goyal VK, Papadakis M2007:6701."

• "Srinivasa G, Fickus MC, Guo Y, Linstedt AD, Kovacevi? J: Active mask segmentation of fluorescence microscope images. IEEE Trans. Image Process. 2009, 18:1817–29."

• "Takemoto S, Yokota H: Algorithm selection based on a region similarity metric for intracellular image segmentation. In Image Segmentation. Edited by Dr Ho P-G. InTech; 2011:419–434."

• "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."

• "Xiong F, Ma W, Hiscock TW, Mosaliganti KR, Tentner AR, Brakke KA, Rannou N, Gelas A, Souhait L, Swinburne IA, Obholzer ND, Megason SG: Interplay of Cell Shape and Division Orientation Promotes Robust Morphogenesis of Developing Epithelia. Cell 2014, 159:415–427."

• "Yang X, Padfield D: Wavelet-initialized 3D level-set cell segmentation with local background support. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on; 2014:814–817."

• "Zhu Y, Olson E, Subramanian A, Feiglin D, Varshney PK, Krol A: Neuronal nuclei localization in 3D using level set and watershed segmentation from laser scanning microscopy images. In Proc. SPIE. Volume 6914. Edited by Reinhardt JM, Pluim JPW.; 2008:691441–691441–8."

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.