Tu1497 Automated Cellular Imaging System for Aneuploidy Differentiates Chronic Pancreatitis From Pancreatic Cancer

Dai, Sun-Chuan; Weinberg, Adam J; Lavanya, R.; Nigam, Shelly; Sharma, Ashish; Kirtane, Tejas; Huang, Qin; Mashimo, Hiroshi

doi:10.1016/s0016-5085(12)63291-0

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[2][3][4][5][6][7][8][9][10] Various attempts have been made to automate this diagnostic process of nuclear DNA content assessment using computeraided analysis of two-dimensional (2-D) slides. [9][10][11] Currently, the two most common techniques used to quantify DNA content are flow cytometry (FCM) and 2-D image cytometry (ICM). In FCM, the sample is stained with a DNA specific fluorophore [usually diamidino-2-phenylindole (DAPI)]; the cells rapidly flow one-by-one across the focused laser beam and the intensities of the fluorescences emitted are used to quantify the DNA content.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional DNA image cytometry by optical projection tomographic microscopy for early cancer diagnosis

Agarwal

Biancardi

Patten³

et al. 2014

J. Med. Imag

View full text Add to dashboard Cite

Abstract. Aneuploidy is typically assessed by flow cytometry (FCM) and image cytometry (ICM). We used optical projection tomographic microscopy (OPTM) for assessing cellular DNA content using absorption and fluorescence stains. OPTM combines some of the attributes of both FCM and ICM and generates isometric highresolution three-dimensional (3-D) images of single cells. Although the depth of field of the microscope objective was in the submicron range, it was extended by scanning the objective's focal plane. The extended depth of field image is similar to a projection in a conventional x-ray computed tomography. These projections were later reconstructed using computed tomography methods to form a 3-D image. We also present an automated method for 3-D nuclear segmentation. Nuclei of chicken, trout, and triploid trout erythrocyte were used to calibrate OPTM. Ratios of integrated optical densities extracted from 50 images of each standard were compared to ratios of DNA indices from FCM. A comparison of mean square errors with thionin, hematoxylin, Feulgen, and SYTOX green was done. Feulgen technique was preferred as it showed highest stoichiometry, least variance, and preserved nuclear morphology in 3-D. The addition of this quantitative biomarker could further strengthen existing classifiers and improve early diagnosis of cancer using 3-D microscopy.

show abstract