Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Gangge Cheng"'
Autor:
Yan Zhou, Cheng-Hui Liu, Yang Pu, Binlin Wu, Thien An Nguyen, Gangge Cheng, Lixin Zhou, Ke Zhu, Jun Chen, Qingbo Li, Robert R. Alfano
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 12, Iss 2, Pp 1950010-1-1950010-12 (2019)
The purpose of this study is to examine optical spatial frequency spectroscopy analysis (SFSA) combined with visible resonance Raman (VRR) spectroscopic method, for the first time, to discriminate human brain metastases of lung cancers adenocarcinoma
Externí odkaz:
https://doaj.org/article/e685eb807ebc4a02a74a7a07af684c02
Autor:
Yan Zhou, Cheng-hui Liu, Binlin Wu, Chunyuan Zhang, Xinguang Yu, Gangge Cheng, Hong Chen, Shenglin Li, Qijun Liang, Mingqian Zhang, Ke Zhu, Lingyan Shi, Robert R. Alfano
Publikováno v:
APL Photonics, Vol 3, Iss 12, Pp 120802-120802-6 (2018)
The accurate identification of the human brain tumor boundary and the complete resection of the tumor are two essential factors for the removal of the glioma tumor in brain surgery. We present a visible resonance Raman (VRR) spectroscopy technique fo
Externí odkaz:
https://doaj.org/article/f9351b68bec64be7af03c825331983f0
Autor:
Yan Zhou, Ke Zhu, Xinguang Yu, Gangge Cheng, Cheng-hui Liu, Robert R. Alfano, Shengjia Zhang, Binlin Wu
Publikováno v:
Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis.
Various machine learning algorithms will be presented to analyze spectral data collected by visible resonance Raman (VRR) spectroscopy to identify the cancer grades of human brain glioma tumors. The features were either based on selected fingerprint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d40b9ede301c324c6820fbd6b6cf04
https://doi.org/10.1117/12.2547054
https://doi.org/10.1117/12.2547054
Autor:
Yan Zhou, Liang Zhang, Ke Zhu, Robert R. Alfano, Shengjia Zhang, Mingqian Zhang, Gangge Cheng, Binlin Wu, Yun Ii Go, Chunyuan Zhang, Cheng-hui Liu, Qijun Liang, Mingyue Zhao, Xinguang Yu, Jichun Zheng
Publikováno v:
Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry.
Based on Visible Resonance Raman (VRR) method, we have developed a novel label-free portable VRR LRR2000 Raman analyzer with a portable fiber-optic probe and used it for the classification of human gliomas ex vivo and for the analysis of changes in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b35556b79cac3d70d3d3f19ff159df5
https://doi.org/10.1117/12.2547070
https://doi.org/10.1117/12.2547070
Autor:
Zong Rui, Yan Zhou, Xinguang Yu, Lin Zhang, Kai Wang, Binlin Wu, Ke Zhu, Mingyue Zhao, Gangge Cheng, Robert R. Alfano, Cheng-hui Liu, Chunyuan Zhang, Lingyan Shi
Publikováno v:
Journal of biomedical optics, vol 24, iss 9
Journal of Biomedical Optics
Journal of Biomedical Optics
Glioma is one of the most refractory types of brain tumor. Accurate tumor boundary identification and complete resection of the tumor are essential for glioma removal during brain surgery. We present a method based on visible resonance Raman (VRR) sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b461fe80b36d868a2a6628ac2937c171
https://escholarship.org/uc/item/5pb0p963
https://escholarship.org/uc/item/5pb0p963
Autor:
Mingyue Zhao, Yan Zhou, Qijun Liang, Cheng-hui Liu, Binlin Wu, Gangge Cheng, Chunyuan Zhang, Hong Chen, Mingqian Zhang, Shenglin Li, Robert R. Alfano, Ke Zhu, Xinguang Yu, Zong Rui
Publikováno v:
Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis.
Laser-induced fluorescence (LIF) technique was used to generate spectral signatures of endogenous fluorophores relevant to the tissue molecular composition changes in human brain glioma tumors. The goal is to study the changes of fluorescence emissio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83cbdbad8ecd5f26c44dfb5d7dba7c3b
https://doi.org/10.1117/12.2511687
https://doi.org/10.1117/12.2511687
Autor:
Thien An Nguyen, Gangge Cheng, Yan Zhou, Qingbo Li, Ke Zhu, Robert R. Alfano, Cheng-hui Liu, Jun Chen, Binlin Wu, Yang Pu, Lixin Zhou
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 12, Iss 2, Pp 1950010-1-1950010-12 (2019)
The purpose of this study is to examine optical spatial frequency spectroscopy analysis (SFSA) combined with visible resonance Raman (VRR) spectroscopic method, for the first time, to discriminate human brain metastases of lung cancers adenocarcinoma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a3a85641300e4471144e0944be96a6
https://doi.org/10.1142/s179354581950010x
https://doi.org/10.1142/s179354581950010x
Autor:
Yan Zhou, Xinguang Yu, Mingyue Zhao, Mingqian Zhang, Qijun Liang, Robert R Alfano, Ke Zhu, Shengjia Zhang, Binlin Wu, Jichun Zheng, Cheng-hui Liu, Gangge Cheng
Publikováno v:
Frontiers in Optics + Laser Science APS/DLS.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3487352665d88d40677e4ece04e3c0f2
https://doi.org/10.1364/fio.2019.jw3a.5
https://doi.org/10.1364/fio.2019.jw3a.5
Autor:
Chunyuan Zhang, Gangge Cheng, Cheng-hui Liu, Yan Zhou, Xinguang Yu, Binlin Wu, Yang Yang, Robert R. Alfano, Hailong Hu, Ke Zhu, Lingyan Shi
Publikováno v:
Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis.
The goal of the research is to determine the prognostic molecular pathological changes in components and composition, for human brain glioma gradings in comparison with normal tissues in three-dimensional Raman imaging profiles by visible Resonance R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e35d3c855b10d50b6a50f443734413
https://doi.org/10.1117/12.2290794
https://doi.org/10.1117/12.2290794
Autor:
Kai Wang, Robert R. Alfano, Yan Zhou, Xinguang Yu, Lingyan Shi, Binlin Wu, Cheng-hui Liu, Chunyuan Zhang, Gangge Cheng
Publikováno v:
Frontiers in Optics / Laser Science.
Resonance Raman spectroscopy using 532nm excitation was used to distinguish normal brain tissue from different grades of glioma tissues. Principal component analysis was used to analyze the spectral data and achieved high accuracy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef176a84d6012fb6d37e92ba9d9cba65
https://doi.org/10.1364/fio.2018.jw4a.3
https://doi.org/10.1364/fio.2018.jw4a.3