Literature DB >> 21984512

Multimodal 3D imaging of cells and tissue, bridging the gap between clinical and research microscopy.

Qin Miao1, Anthony P Reeves, Florence W Patten, Eric J Seibel.   

Abstract

Absorption dyes are widely used in traditional cytology and pathology clinical practice, while fluorophores and nanoparticles are more often used in biologic research. Optical projection tomographic microscopy (OPTM) is a platform technology that can image the same specimen in multiple modes in 3D, providing morphologic and molecular information concurrently and in exact co-registration. The depth-of-field of a high numerical aperture objective is extended by scanning the focal plane through the sample to generate an optical projection image. Samples of cells or tissue are brought into the OPTM instrument through a microcapillary tube filled with optical index-matching gel. Multiple optical projection images are taken from different perspectives by rotating the tube. Computed tomography (CT) algorithms are applied to these optical projection images to reconstruct 3D structure of the sample. Image segmentation and analysis based on these 3D images provide quantitative biosignatures for cancer diagnosis that represents a clear improvement over conventional 2D image analysis. In this article, we introduce the OPTM platform, optical Cell-CT, and Tissue-CT instruments, and some applications using these OPTM instruments.

Entities:  

Mesh:

Year:  2011        PMID: 21984512     DOI: 10.1007/s10439-011-0411-5

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  2 in total

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

Authors:  Nitin Agarwal; Alberto M Biancardi; Florence W Patten; Anthony P Reeves; Eric J Seibel
Journal:  J Med Imaging (Bellingham)       Date:  2014-06-20

2.  Automatic and Quantitative Measurement of Collagen Gel Contraction Using Model-Guided Segmentation.

Authors:  Hsin-Chen Chen; Tai-Hua Yang; Andrew R Thoreson; Chunfeng Zhao; Peter C Amadio; Yung-Nien Sun; Fong-Chin Su; Kai-Nan An
Journal:  Meas Sci Technol       Date:  2013-08       Impact factor: 2.046

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.