Multi-functional optical coherence microscopy for in-vitro and ex-vivo tissue investigation

2021 ◽  
Author(s):  
Yoshiaki Yasuno ◽  
Ibrahim Abd El-Sadek ◽  
Arata Miyazawa ◽  
Larina Tzu-Wei Shen ◽  
Thitiya Seesan ◽  
...  
Lab on a Chip ◽  
2013 ◽  
Vol 13 (18) ◽  
pp. 3555 ◽  
Author(s):  
Beren Ataç ◽  
Ilka Wagner ◽  
Reyk Horland ◽  
Roland Lauster ◽  
Uwe Marx ◽  
...  
Keyword(s):  
Ex Vivo ◽  

2012 ◽  
Vol 187 (2) ◽  
pp. 691-699 ◽  
Author(s):  
Hsiang-Chieh Lee ◽  
Chao Zhou ◽  
David W. Cohen ◽  
Amy E. Mondelblatt ◽  
Yihong Wang ◽  
...  

2004 ◽  
Vol 9 (4) ◽  
pp. 719 ◽  
Author(s):  
Kostadinka Bizheva ◽  
Angelika Unterhuber ◽  
Boris Hermann ◽  
Boris Považay ◽  
Harald Sattmann ◽  
...  

2019 ◽  
Author(s):  
Michael Neidlin ◽  
Efthymia Chantzi ◽  
George Macheras ◽  
Mats G Gustafsson ◽  
Leonidas G Alexopoulos

AbstractThe pathophysiology of osteoarthritis (OA) involves dysregulation of anabolic and catabolic processes associated with a broad panel of cytokines and other secreted proteins and ultimately lead to cartilage degradation. An increased understanding about the interactions of these proteins by means of systematic in vitro analyses may give new ideas regarding pharmaceutical candidates for treatment of OA and related cartilage degradation.Therefore, first an ex vivo tissue model of cartilage degradation was established by culturing full thickness tissue explants with bacterial collagenase II. Then responses of healthy and degrading cartilage were analyzed by measuring protein abundance in tissue supernatant with a 26-multiplex protein profiling assay, after exposing them to a panel of 55 protein stimulations present in synovial joints of OA patients. Multivariate data analysis including exhaustive pairwise variable subset selection was used to identify the most outstanding changes in the measured protein secretions. This revealed that the MMP9 response is outstandingly low in degraded compared to healthy cartilage and that there are several protein pairs like IFNG and MMP9 that can be used for successful discrimination between degraded and healthy samples.Taken together, the results show that the characteristic changes in protein responses discovered seem promising for accurate detection/diagnosis of degrading cartilage in general and OA in particular. More generally the employed ex vivo tissue model seems promising for drug discovery and development projects related to cartilage degradation, for example when trying to uncover the unknown interactions between secreted proteins in healthy and degraded tissues.


Author(s):  
Pradipta Mukherjee ◽  
Arata Miyazawa ◽  
Larina Shen ◽  
Shinichi Fukuda ◽  
Toshiharu Yamashita ◽  
...  

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Ajit S Puri ◽  
Giovanni Ughi ◽  
Robert M King ◽  
Matthew Gounis

Introduction: Optical coherence tomography (OCT) has played an important role in the diagnosis and treatment guidance in coronary artery disease. However, existing OCT systems are not suitable for routine neurovascular applications due to the size and tortuosity of the arteries. Hypothesis: We seek to demonstrate a prototype high-frequency OCT (HF-OCT) capable of high-resolution imaging in simulated cerebrovascular anatomy. Methods: A low-profile HF-OCT system was constructed with an image resolution approaching 10μm. Using an in vitro, patient-specific model of the circle of Willis with circulating porcine blood, we characterized the delivery of the device and ability to image in a tortuous path. Also, human cadaver intracranial atherosclerosis plaques were imaged with HF-OCT and assessed by an expert imager. Finally, neurovascular devices were implanted in 8 pigs (Fig 1) and HF-OCT imaging was compared with gold-standard DSA and CT. Results: In the phantom, optimal blood clearance was achieved through an intermediate catheter (5 Fr Navien) with infusion of contrast at 5 ml/s in the internal carotid and basilar artery, and 3 ml/sec in the MCA. The in vivo study demonstrated that both malapposition of devices or thrombus formation along the device surface could be reliably diagnosed among 3 reviewers (Fleiss’s kappa of 0.87 and 0.9, respectively). This agreement was superior to DSA and CT. Imaging in tortuous swine brachial showed in all cases imaging free of artifacts, uniform illumination and ability to visualize vessel wall layers. Plaque types including ‘lipid pools’, fibrotic, and calcific tissue from cadaver specimens of ICAD could be adequately depicted by HF-OCT. Conclusion: In vitro, in vivo and ex vivo characterization of a novel HF-OCT device has shown it is capable of imaging in the tortuous intracranial vascular anatomy. This technology has to potential to aid in the diagnosis of cerebrovascular disease and guide optimal endovascular treatment.


2017 ◽  
Vol 8 (2) ◽  
pp. 1152 ◽  
Author(s):  
Jeffrey A. Mulligan ◽  
François Bordeleau ◽  
Cynthia A. Reinhart-King ◽  
Steven G. Adie

Author(s):  
Antonia Lichtenegger ◽  
Danielle J. Harper ◽  
Marco Augustin ◽  
Pablo Eugui ◽  
Stanislava Fialová ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Eunjung Min ◽  
Sungbea Ban ◽  
Junwon Lee ◽  
Andrey Vavilin ◽  
Songyee Baek ◽  
...  

AbstractThe observation of histopathology using optical microscope is an essential procedure for examination of tissue biopsies or surgically excised specimens in biological and clinical laboratories. However, slide-based microscopic pathology is not suitable for visualizing the large-scale tissue and native 3D organ structure due to its sampling limitation and shallow imaging depth. Here, we demonstrate serial optical coherence microscopy (SOCM) technique that offers label-free, high-throughput, and large-volume imaging of ex vivo mouse organs. A 3D histopathology of whole mouse brain and kidney including blood vessel structure is reconstructed by deep tissue optical imaging in serial sectioning techniques. Our results demonstrate that SOCM has unique advantages as it can visualize both native 3D structures and quantitative regional volume without introduction of any contrast agents.


Sign in / Sign up

Export Citation Format

Share Document