scholarly journals Visualization and Analysis of Whole Depot Adipose Tissue Innervation

2019 ◽  
Author(s):  
Jake W. Willows ◽  
Magdalena Blaszkiewicz ◽  
Amy Lamore ◽  
Samuel Borer ◽  
Amanda L. Dubois ◽  
...  

AbstractAdipose tissue requires neural innervation in order to regulate important metabolic functions. Though seminal work on adipose denervation has underscored the importance of adipose-nerve interactions in both white (energy storing) and brown (energy expending) adipose tissues, much remains a mystery. This is due, in part, to the inability to effectively visualize the various nerve subtypes residing within these tissues and to gain a comprehensive quantitation of neurite density in an entire depot. With the recent surge of advanced imaging techniques such as light sheet microscopy and optical clearing procedures, adipose tissue imaging has been reinvigorated with a focus on three-dimensional analysis of tissue innervation. However, clearing techniques are time consuming, often require solvents caustic to objective lenses, alter tissue morphology, and greatly reduce fluorophore lifespan. Not only are current methods of imaging wholemount adipose tissues inconvenient, but often attempts to quantify neurite density across physiological or pathophysiological conditions have been limited to representative section sampling. We have developed a new method of adipose tissue neurite imaging and quantitation that is faster than current clearing-based methods, does not require caustic chemicals, and leaves the tissue fully intact. Maintenance of a fully intact depot allowed for tiling z-stacks and producing maximum intensity projections of the entire adipose depot, which were then used to quantify neurite density across the tissue. With this processing method we were able to characterize the nerves, nerve-subtypes, and neurovascular interactions within the inguinal subcutaneous white adipose tissue in mice using up to five fluorescent channels at high resolution. We also utilized second harmonic generation, which provides label-free imaging, to investigate collagen fiber abundance in adipose of obese mice.

2020 ◽  
Author(s):  
Niall Hanrahan ◽  
Simon I. R. Lane ◽  
Peter Johnson ◽  
Konstantinos Bourdakos ◽  
Christopher Brereton ◽  
...  

AbstractLight sheet microscopy (LSM) has emerged as one of most profound three dimensional (3D) imaging tools in the life sciences over the last decade. However, LSM is currently performed with fluorescence detection on one- or multi-photon excitation. Label-free LSM imaging approaches have been rather limited. Second Harmonic Generation (SHG) imaging is a label-free technique that has enabled detailed investigation of collagenous structures, including its distribution and remodelling in cancers and respiratory tissue, and how these link to disease. SHG is generally regarded as having only forward- and back-scattering components, apparently precluding the orthogonal detection geometry used in Light Sheet Microscopy. In this work we demonstrate SHG imaging on a light sheet microscope (SHG-LSM) using a rotated Airy beam configuration that demonstrates a powerful new approach to direct, without any further processing or deconvolution, 3D imaging of harmonophores such as collagen in biological samples. We provide unambiguous identification of SHG signals on the LSM through its wavelength and polarisation sensitivity. In a multimodal LSM setup we demonstrate that SHG and two-photon signals can be acquired on multiple types of different biological samples. We further show that SHG-LSM is sensitive to changes in collagen synthesis within lung fibroblast 3D cell cultures. This work expands on the existing optical methods available for use with light sheet microscopy, adding a further label-free imaging technique which can be combined with other detection modalities to realise a powerful multi-modal microscope for 3D bioimaging.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dimitrios Kapsokalyvas ◽  
Rodrigo Rosas ◽  
Rob W. A. Janssen ◽  
Jo M. Vanoevelen ◽  
Miranda Nabben ◽  
...  

AbstractImaging in three dimensions is necessary for thick tissues and small organisms. This is possible with tomographic optical microscopy techniques such as confocal, multiphoton and light sheet microscopy. All these techniques suffer from anisotropic resolution and limited penetration depth. In the past, Multiview microscopy—imaging the sample from different angles followed by 3D image reconstruction—was developed to address this issue for light sheet microscopy based on fluorescence signal. In this study we applied this methodology to accomplish Multiview imaging with multiphoton microscopy based on fluorescence and additionally second harmonic signal from myosin and collagen. It was shown that isotropic resolution was achieved, the entirety of the sample was visualized, and interference artifacts were suppressed allowing clear visualization of collagen fibrils and myofibrils. This method can be applied to any scanning microscopy technique without microscope modifications. It can be used for imaging tissue and whole mount small organisms such as heart tissue, and zebrafish larva in 3D, label-free or stained, with at least threefold axial resolution improvement which can be significant for the accurate quantification of small 3D structures.


2018 ◽  
Vol 27 (1) ◽  
pp. 226-236.e3 ◽  
Author(s):  
Jingyi Chi ◽  
Zhuhao Wu ◽  
Chan Hee J. Choi ◽  
Lily Nguyen ◽  
Saba Tegegne ◽  
...  

Author(s):  
Niall Hanrahan ◽  
Simon Lane ◽  
Peter Johnson ◽  
Konstantinos Bourdakos ◽  
Christopher J. Brereton ◽  
...  

2021 ◽  
Vol 27 (3) ◽  
Author(s):  
Giulia Fiorentino ◽  
Annapaola Parrilli ◽  
Silvia Garagna ◽  
Maurizio Zuccotti

Abstract The 3D functional reconstruction of a whole organ or organism down to the single cell level and to the subcellular components and molecules is a major future scientific challenge. The recent convergence of advanced imaging techniques with an impressively increased computing power allowed early attempts to translate and combine 2D images and functional data to obtain in-silico organ 3D models. This review first describes the experimental pipeline required for organ 3D reconstruction: from the collection of 2D serial images obtained with light, confocal, light-sheet microscopy or tomography, followed by their registration, segmentation and subsequent 3D rendering. Then, we summarise the results of investigations performed so far by applying these 3D image analyses to the study of the female and male mammalian gonads. These studies highlight the importance of working towards a 3D in-silico model of the ovary and testis as a tool to gain insights into their biology during the phases of differentiation or adulthood, in normal or pathological conditions. Furthermore, the use of 3D imaging approaches opens to key technical improvements, ranging from image acquisition to optimisation and development of new processing tools, and unfolds novel possibilities for multidisciplinary research.


2021 ◽  
Vol 7 (8) ◽  
pp. eabe2480
Author(s):  
Junlong Geng ◽  
Xiaohui Zhang ◽  
Suma Prabhu ◽  
Sayyed Hamed Shahoei ◽  
Erik R. Nelson ◽  
...  

Crown-like structures (CLSs) are adipose microenvironments of macrophages engulfing adipocytes. Their histological density in visceral adipose tissue (VAT) predicts metabolic disorder progression in obesity and is believed to initiate obesity comorbidities. Here, we use three-dimensional (3D) light sheet microscopy and deep learning to quantify 3D features of VAT CLSs in lean and obese states. Obese CLS densities are significantly higher, composing 3.9% of tissue volume compared with 0.46% in lean tissue. Across the states, individual CLS structural characteristics span similar ranges; however, subpopulations are distinguishable. Obese VAT contains large CLSs absent from lean tissues, located near the tissue center, while lean CLSs have higher volumetric cell densities and prolate shapes. These features are consistent with inefficient adipocyte elimination in obesity that contributes to chronic inflammation, representing histological biomarkers to assess adipose pathogenesis. This tissue processing, imaging, and analysis pipeline can be applied to quantitatively classify 3D microenvironments across diverse tissues.


Author(s):  
Yuta Otsuka ◽  
Hirokazu Tsukaya

AbstractOrganisms have a variety of three-dimensional (3D) structures that change over time. These changes include twisting, which is 3D deformation that cannot happen in two dimensions. Twisting is linked to important adaptive functions of organs, such as adjusting the orientation of leaves and flowers in plants to align with environmental stimuli (e.g. light, gravity). Despite its importance, the underlying mechanism for twisting remains to be determined, partly because there is no rigorous method for quantifying the twisting of plant organs. Conventional studies have relied on approximate measurements of the twisting angle in 2D, with arbitrary choices of observation angle. Here, we present the first rigorous quantification of the 3D twisting angles of Arabidopsis petioles based on light sheet microscopy. Mathematical separation of bending and twisting with strict definition of petiole cross-sections were implemented; differences in the spatial distribution of bending and twisting were detected via the quantification of angles along the petiole. Based on the measured values, we discuss that minute degrees of differential growth can result in pronounced twisting in petioles.


2017 ◽  
Vol 153 (4) ◽  
pp. 898-900 ◽  
Author(s):  
Sebastian Zundler ◽  
Anika Klingberg ◽  
Daniela Schillinger ◽  
Sarah Fischer ◽  
Clemens Neufert ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e96551 ◽  
Author(s):  
Kavya Mohan ◽  
Subhajit B. Purnapatra ◽  
Partha Pratim Mondal

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