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

被引：31

作者：

Meyer, Michael G. ^{[1
]}

Fauver, Mark ^{[2
]}

Rahn, J. Richard ^{[1
]}

Neumann, Thomas ^{[1
]}

Patten, Florence W. ^{[1
]}

Seibel, Eric J. ^{[3
]}

Nelson, Alan C. ^{[1
]}

机构：

[1] VisionGate Inc, Gig Harbor, WA 98335 USA

[2] Nortis Inc, Gig Harbor, WA 98335 USA

[3] Univ Washington, Dept Mech Engn, Seattle, WA 98195 USA

来源：

PATTERN RECOGNITION | 2009年 / 42卷 / 01期

关键词：

Automated classification; 3D; Cancer diagnosis; Tomography;

D O I：

10.1016/j.patcog.2008.06.018

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：141 / 146

页数：6

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