Improved label-free diagnostics and pathological assessment of atherosclerotic plaques through nonlinear microscopy

2018 ◽  
Vol 11 (11) ◽  
pp. e201800106 ◽  
Author(s):  
Enrico Baria ◽  
Gabriella Nesi ◽  
Raffaella Santi ◽  
Vincenza Maio ◽  
Daniela Massi ◽  
...  
2012 ◽  
Author(s):  
Tobias Meyer ◽  
Nadine Vogler ◽  
Benjamin Dietzek ◽  
Denis Akimov ◽  
Johanna Inhestern ◽  
...  

2021 ◽  
Author(s):  
Amara Khan ◽  
Fernanda Ramos-Gomes ◽  
Andrea Markus ◽  
Matthias Mietsch ◽  
Rabea Hinkel ◽  
...  

Author(s):  
Warren S. Warren ◽  
Francisco Robles ◽  
Martin Fischer ◽  
Jesse Wilson ◽  
Sanghamitra Deb ◽  
...  

2017 ◽  
Vol 9 (1) ◽  
pp. 214 ◽  
Author(s):  
David M. Small ◽  
Jason S. Jones ◽  
Irwin I. Tendler ◽  
Paul E. Miller ◽  
Andre Ghetti ◽  
...  

Author(s):  
S. Witte ◽  
A. Negrean ◽  
J.C. Lodder ◽  
G.T. Silva ◽  
C.P.J. de Kock ◽  
...  

2014 ◽  
Vol 07 (05) ◽  
pp. 1330008 ◽  
Author(s):  
Riccardo Cicchi ◽  
Francesco Saverio Pavone

The large use of nonlinear laser scanning microscopy in the past decade paved the way for potential clinical application of this imaging technique. Modern nonlinear microscopy techniques offer promising label-free solutions to improve diagnostic performances on tissues. In particular, the combination of multiple nonlinear imaging techniques in the same microscope allows integrating morphological with functional information in a morpho-functional scheme. Such approach provides a high-resolution label-free alternative to both histological and immunohistochemical examination of tissues and is becoming increasingly popular among the clinical community. Nevertheless, several technical improvements, including automatic scanning and image analysis, are required before the technique represents a standard diagnostic method. In this review paper, we highlight the capabilities of multimodal nonlinear microscopy for tissue imaging, by providing various examples on colon, arterial and skin tissues. The comparison between images acquired using multimodal nonlinear microscopy and histology shows a good agreement between the two methods. The results demonstrate that multimodal nonlinear microscopy is a powerful label-free alternative to standard histopathological methods and has the potential to find a stable place in the clinical setting in the near future.


2019 ◽  
Vol 116 (36) ◽  
pp. 17765-17774 ◽  
Author(s):  
Suho Kim ◽  
Eun-Soo Lee ◽  
Sang-Won Lee ◽  
Yong-Hoon Kim ◽  
Chul-Ho Lee ◽  
...  

Perivascular adipose tissue (PVAT), as a mechanical support, has been reported to systemically regulate vascular physiology by secreting adipokines and cytokines. How PVAT spatially and locally changes as atherosclerosis progresses is not known, however. We aimed to reveal the molecular changes in PVAT in advanced atherosclerosis based on multimodal nonlinear optical (MNLO) imaging. First, using an atherogenic apolipoprotein E knockout mouse model, we precisely assessed the browning level of thoracic PVAT via a correlative analysis between the size and number of lipid droplets (LDs) of label-free MNLO images. We also biochemically demonstrated the increased level of brown fat markers in the PVAT of atherosclerosis. In the initial stage of atherosclerosis, the PVAT showed a highly activated brown fat feature due to the increased energy expenditure; however, in the advanced stage, only the PVAT in the regions of the atherosclerotic plaques, not that in the nonplaque regions, showed site-specific changes. We found that p-smad2/3 and TGF-β signaling enhanced the increase in collagen to penetrate the PVAT and the agglomeration of LDs only at the sites of atherosclerotic plaques. Moreover, atherosclerotic thoracic PVAT (tPVAT) was an increased inflammatory response. Taken together, our findings show that PVAT changes differentially from the initial stages to advanced stages of atherosclerosis and undergoes spatial impairment focused on atherosclerotic plaques. Our study may provide insight into the local control of PVAT as a therapeutic target.


2015 ◽  
Vol 200 ◽  
pp. 78-86 ◽  
Author(s):  
Xueqin Chen ◽  
Sébastien Grégoire ◽  
Florian Formanek ◽  
Jean-Baptiste Galey ◽  
Hervé Rigneault

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