Visualizing liver anatomy, physiology and pharmacology using multiphoton microscopy-Reference-Cited by-同舟云学术

Visualizing liver anatomy, physiology and pharmacology using multiphoton microscopy

Published:2016-06-17 Issue:1 Volume:10 Page:46-60
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophoton

Author:

Wang Haolu¹,Liang Xiaowen¹,Gravot Germain²,Thorling Camilla A.¹,Crawford Darrell H. G.³,Xu Zhi Ping⁴,Liu Xin¹,Roberts Michael S.¹⁵

Affiliation:

1. Therapeutics Research Centre, School of Medicine; The University of Queensland, Princess Alexandra Hospital; Woolloongabba QLD 4102 Australia

2. Department of Pharmacy; University of Rennes 1; Ille-et-Vilaine Rennes 35043 France

3. School of Medicine; The University of Queensland, Gallipoli Medical Research Foundation, Greenslopes Private Hospital; Greenslopes QLD 4120 Australia

4. Australian Institute for Bioengineering and Nanotechnology; The University of Queensland; St Lucia QLD 4072 Australia

5. School of Pharmacy and Medical Science; University of South Australia; Adelaide SA 5001 Australia

Funder

Translational Australian Clinical Toxicology (TACT) Program

National Health and Medical Research Council

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Reference78 articles.

1. Wheat extracts as an efficient cryoprotective agent for primary cultures of rat hepatocytes

2. Diagnostic imaging and therapeutic application of nanoparticles targeting the liver

3. Structure and Function of Sinusoidal Lining Cells in the Liver

4. Hepatic stellate cells: a target for the treatment of liver fibrosis

5. Two-Photon Laser Scanning Fluorescence Microscopy

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PSO-PSP-Net + InceptionV3: An optimized hyper-parameter tuned Computer-Aided Diagnostic model for liver tumor detection using CT scan slices;Biomedical Signal Processing and Control;2024-09

2. A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques;Computers in Biology and Medicine;2024-09

3. Ovarian cancer identification technology based on deep learning and second harmonic generation imaging;Journal of Biophotonics;2024-07-02

4. Enhancing Super-Resolution Microscopy Through a Synergistic Approach with Generative Machine Learning Models;IFMBE Proceedings;2024

5. Histological and Immunohistochemical Assays of <i>Trypanosoma evansi</i> Infected Camel Hepatic Tissues;Polish Journal of Environmental Studies;2023-09-01