Automated cell analysis in 2D and 3D: A comparative study

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Optical projection tomographic microscopy is a technique that allows 3D analysis of individual cells. Theoretically, 3D morphometry would more accurately capture cellular features than 2D morphometry. To evaluate this thesis, classifiers based on 3D reconstructions of cell nuclei were compared with 2D images from the same nuclei. Human adenocarcinoma and normal lung epithelium cells were used. Testing demonstrated a three-fold reduction in the false negative rate for adenocarcinoma detection in 3D versus 2D at the same high specificity. We conclude that 3D imaging will potentially expand the horizon for automated cell analysis with broad applications in the biological sciences.

论文关键词:Automated classification,3D,Cancer diagnosis,Tomography

论文评审过程:Received 31 July 2007, Revised 24 March 2008, Accepted 18 June 2008, Available online 24 June 2008.

论文官网地址:https://doi.org/10.1016/j.patcog.2008.06.018