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      A Quantitative Three-Dimensional Image Analysis Tool for Maximal Acquisition of Spatial Heterogeneity Data

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      Tissue Engineering Part C: Methods
      Mary Ann Liebert Inc

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          Abstract

          Three-dimensional (3D) imaging techniques provide spatial insight into environmental and cellular interactions and are implemented in various fields, including tissue engineering, but have been restricted by limited quantification tools that misrepresent or underutilize the cellular phenomena captured. This study develops image postprocessing algorithms pairing complex Euclidean metrics with Monte Carlo simulations to quantitatively assess cell and microenvironment spatial distributions while utilizing, for the first time, the entire 3D image captured. Although current methods only analyze a central fraction of presented confocal microscopy images, the proposed algorithms can utilize 210% more cells to calculate 3D spatial distributions that can span a 23-fold longer distance. These algorithms seek to leverage the high sample cost of 3D tissue imaging techniques by extracting maximal quantitative data throughout the captured image.

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          Most cited references27

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          Going deeper than microscopy: the optical imaging frontier in biology.

          Optical microscopy has been a fundamental tool of biological discovery for more than three centuries, but its in vivo tissue imaging ability has been restricted by light scattering to superficial investigations, even when confocal or multiphoton methods are used. Recent advances in optical and optoacoustic (photoacoustic) imaging now allow imaging at depths and resolutions unprecedented for optical methods. These abilities are increasingly important to understand the dynamic interactions of cellular processes at different systems levels, a major challenge of postgenome biology. This Review discusses promising photonic methods that have the ability to visualize cellular and subcellular components in tissues across different penetration scales. The methods are classified into microscopic, mesoscopic and macroscopic approaches, according to the tissue depth at which they operate. Key characteristics associated with different imaging implementations are described and the potential of these technologies in biological applications is discussed.
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            Deep imaging of bone marrow shows non-dividing stem cells are mainly perisinusoidal

            Hematopoietic stem cells (HSCs) reside in a perivascular niche but the location remains controversial 1 . HSCs are rare and few can be found in thin tissue sections 2,3 or upon live imaging 4 , making it difficult to comprehensively localize dividing and non-dividing HSCs. We discovered that α-catulinGFP/+ was expressed by only 0.02% of bone marrow hematopoietic cells, including virtually all HSCs. One in 3.5 α-catulin-GFP+c-kit+ cells gave long-term multilineage reconstitution of irradiated mice, indicating that α-catulin-GFP+c-kit+ cells contain HSCs with a purity comparable to the best markers available. We were able to optically clear the bone marrow to perform deep confocal imaging, making it possible to image thousands of α-catulin-GFP+c-kit+ cells and to digitally reconstruct large segments of bone marrow. The distribution of α-catulin-GFP+c-kit+ cells indicated that HSCs were more common in central marrow than near bone surfaces and in the diaphysis relative to the metaphysis. Nearly all HSCs contacted Leptin Receptor+ and Cxcl12high niche cells. Approximately 85% of HSCs were within 10μm of a sinusoidal blood vessel. Most HSCs were distant from arterioles, transition zone vessels, and bone surfaces. This was true of Ki-67+ dividing HSCs and Ki-67− non-dividing HSCs. Dividing and non-dividing HSCs thus reside mainly in perisinusoidal niches with Leptin Receptor+Cxcl12high cells throughout the bone marrow.
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              Microscale technologies for tissue engineering and biology.

              Microscale technologies are emerging as powerful tools for tissue engineering and biological studies. In this review, we present an overview of these technologies in various tissue engineering applications, such as for fabricating 3D microfabricated scaffolds, as templates for cell aggregate formation, or for fabricating materials in a spatially regulated manner. In addition, we give examples of the use of microscale technologies for controlling the cellular microenvironment in vitro and for performing high-throughput assays. The use of microfluidics, surface patterning, and patterned cocultures in regulating various aspects of cellular microenvironment is discussed, as well as the application of these technologies in directing cell fate and elucidating the underlying biology. Throughout this review, we will use specific examples where available and will provide trends and future directions in the field.
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                Author and article information

                Journal
                Tissue Engineering Part C: Methods
                Tissue Engineering Part C: Methods
                Mary Ann Liebert Inc
                1937-3384
                1937-3392
                February 2017
                February 2017
                : 23
                : 2
                : 108-117
                Article
                10.1089/ten.tec.2016.0413
                28068883
                7a9dc158-3104-4e25-9ae5-11067acb151e
                © 2017
                History

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