3篇
您的检索式：作者名="Eric J.Chaney"
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| 1 | FC-DIRECTED ANTIBODY CONJUGATION OF MAGNETIC NANOPARTICLES FOR ENHANCED MOLECULAR TARGETING显示文摘In this study, we report the fabrication of engineered iron oxide magnetic nanoparticles (MNPs)functionalized with anti-human epidermal growth factor receptor type 2 (HER2) antibody totarget the tumor antigen HER2. The Fc-directed conjugation of antibodies to the MNPs aidstheir efficient immunospecific targeting through free Fab portions. The directional specificity ofconjugation was verified on a macrophage cell line. Immunofluorescence studies on macrophagestreated with functionalized MNPs and free anti-HER2 antibody revealed that the antibodymolecules bind to the MNPs predominantly through their Fc portion. Different cell lines with different HER2 expression levels were used to test the specificity of our functionalized nanoprobe formolecular targeting applications. The results of cell line targeting demonstrate that these engineered MNPs are able to differentiate between cell lines with different levels of HER2 expression. | ROBABEH REZAEIPOOR RENU JOHN STEVEN G.ADIE ERIC J.CHANEY MARINA MARJANOVIC AMY L.OLDENBURG STEPHANIE A.RINNE STEPHEN A.BOPPART | 2009 | Journal of Innovative Optical Health Sciences2009，2，4： | 0 |
| 2 | Video-rate multimodal multiphoton imaging and three-dimensional characterization of cellular dynamics in wounded skin显示文摘To date,numerous studies have been performed to elucidate the complex cellular dynamics in skin diseases,but few have attempted to characterize these cellular events under conditions similar to the native environment.To address this challenge,a three-dimensional(3D)multimodal analysis platform was developed for characterizing in vivo cellular dynamics in skin,which was then utilized to process in vivo wound healing data to demonstrate its applicability.Special attention is focused on in vivo biological parameters that are difficult to study with ex vivo analysis,including 3D cell tracking and techniques to connect biological information obtained from different imaging modalities.These results here open new possibilities for evaluating 3D cellular dynamics in vivo,and can potentially provide new tools for characterizing the skin microenvironment and pathologies in the future. | Joanne Li Madison N.Wilson Andrew J.Bower Marina Marjanovic Eric J.Chaney Ronit Barkalifa Stephen A.Boppart | 2020 | Journal of Innovative Optical Health Sciences2020，，2： | 0 |
| 3 | SEGMENTATION AND CORRELATION OF OPTICAL COHERENCE TOMOGRAPHY AND X-RAY IMAGES FOR BREAST CANCER DIAGNOSTICS显示文摘Pre-operative X ray mammography and int raoperative X-ray specimen radiography are routinely used to identify breast cancer pathology.Recent advances in optical coherence tomography(OCT)have enabled its 1use for the intraoperative assessment of surgical margins during breast cancer surgery.While each modality offers distinct contrast of normal and pathological features,there is an essential need to correlate image based features between the two modalities to take adv antage of the diagnostic capabilities of each technique.We compare OCT to X-ray images of resected human breast tissue and correlate different tissue features between modalities for future use in real-tine intraoperative OCT imaging.X ray imaging(specimen radiography)is currently used during surgical breast cancer procedures to verify tumor margins,but cannot image tissue in situ.OCT has the potential to solve this problem by providing intrao-perative imaging of the resected specimen as well as the in situ tumor cavity.OCT and micro-CT(X-ray)images are automatically segmented using different computational approaches,and quantitatively compared to determine the ability of these algorithms to automat ically differentiate regions of adipose tissue from tumor.Furthermore,two-dimensional(2D)and three-dimensional(3D)results are compared.These correlations,combined with real-time intraoperative OCT,have the potential to identify possible regions of tumor within breast tissue which correlate to tumor regions identified previously on X-ray imaging(mammography or specimen radiography). | JONATHAN G.SUN STEVEN G.ADIE ERIC J.CHANEY STEPHEN A.BOPPART | 2013 | Journal of Innovative Optical Health Sciences2013，6，2： | 0 |
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