In vivo characterization of tumor and tumor vascular network using multi-modal imaging approach

被引:37
|
作者
Kalchenko, Vyacheslav [1 ]
Madar-Balakirski, Noa [2 ]
Meglinski, Igor [3 ]
Harmelin, Alon [1 ]
机构
[1] Weizmann Inst Sci, Dept Vet Resources, IL-76100 Rehovot, Israel
[2] Weizmann Inst Sci, Dept Regulat Biol, IL-76100 Rehovot, Israel
[3] Univ Otago, Jack Dodd Ctr Quantum Technol, Dept Phys, Dunedin 9054, New Zealand
关键词
fluorescent intravital microscopy; dynamic light scattering; microscopy; tumor; blood; vascular network; microcirculation; DIFFUSING WAVE SPECTROSCOPY; BLOOD; MICROCIRCULATION; SCATTERING; DOPPLER;
D O I
10.1002/jbio.201100033
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We present a multi-modal optical diagnostic approach utilizing a combined use of Fluorescence Intravital Microscopy (FIM), Dynamic Light Scattering (DLS) and Spectrally Enhanced Microscopy (SEM) modalities for in vivo imaging of tumor vascular network and blood microcirculation. FIM is used for imaging of tumor surroundings and microenvironment, SEM provides information regarding blood vessels topography, whereas DLS is applied for functional imaging of vascular network and blood microcirculation. This complementary combination of the imaging approaches is extremely useful for functional in vivo imaging of blood vasculature and tumor microenvironment. The technique has also a great potential in vascular biology and can significantly expand the capabilities of tumor angiogenesis studies and notably contribute to the development of cancer treatment.
引用
收藏
页码:645 / 649
页数:5
相关论文
共 50 条
  • [1] Multi-modal diagnostic approach for functional imaging of tumor vascular network and blood microcirculation
    Kalchenko, Vyacheslav
    Madar-Balakirski, Noa
    Kuznetsov, Yuri
    Meglinski, Igor
    Harmelin, Alon
    [J]. DYNAMICS AND FLUCTUATIONS IN BIOMEDICAL PHOTONICS VIII, 2011, 7898
  • [2] Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation
    Yang, Hengyi
    Zhou, Tao
    Zhou, Yi
    Zhang, Yizhe
    Fu, Huazhu
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 27 (07) : 3349 - 3359
  • [3] BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification
    Kollias, Dimitrios
    Vendal, Karanjot
    Gadhavi, Priyankaben
    Russom, Solomon
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (21):
  • [4] Giant prolactinomas: Multi-modal approach to achieve tumor control
    Ilan Shimon
    [J]. Endocrine, 2017, 56 : 227 - 228
  • [5] Giant prolactinomas: Multi-modal approach to achieve tumor control
    Shimon, Ilan
    [J]. ENDOCRINE, 2017, 56 (02) : 227 - 228
  • [6] Development of a multi-modal sensor for in vivo monitoring of tumor oxygen dynamics
    Qiang, Bo
    Cao, Xianhua
    Sun, Duxin
    He, Guanglong
    Zweier, Jay
    Xu, Ronald
    [J]. CONFERENCE DIGEST OF THE 2006 JOINT 31ST INTERNATIONAL CONFERENCE ON INFRARED AND MILLIMETER WAVES AND 14TH INTERNATIONAL CONFERENCE ON TERAHERTZ ELECTRONICS, 2006, : 249 - 249
  • [7] Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
    Maqsood, Sarmad
    Damasevicius, Robertas
    Maskeliunas, Rytis
    [J]. MEDICINA-LITHUANIA, 2022, 58 (08):
  • [8] Multi-modal imaging of tumor cellularity and Tryptophan metabolism in human Gliomas
    Jeong-Won Jeong
    Csaba Juhász
    Sandeep Mittal
    Edit Bosnyák
    David O. Kamson
    Geoffrey R. Barger
    Natasha L. Robinette
    William J. Kupsky
    Diane C. Chugani
    [J]. Cancer Imaging, 15
  • [9] Multi-modal imaging of tumor cellularity and Tryptophan metabolism in human Gliomas
    Jeong, Jeong-Won
    Juhasz, Csaba
    Mittal, Sandeep
    Bosnyak, Edit
    Kamson, David O.
    Barger, Geoffrey R.
    Robinette, Natasha L.
    Kupsky, William J.
    Chugani, Diane C.
    [J]. CANCER IMAGING, 2015, 15 : 1 - 10
  • [10] Multi-modal imaging of gene expression in vivo
    Jacobs, A. H.
    Schaefers, S.
    Fricke, I.
    Zinnhard, B.
    Rapic, S.
    Monfared, P.
    Viel, T.
    [J]. HUMAN GENE THERAPY, 2013, 24 (12) : A10 - A11