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Xie DF, Crouzet C, LoPresti K, Wang Y, Robinson C, Jones W, Muqolli F, Fang C, Cribbs DH, Fisher M, Choi B. Semi-automated protocol to quantify and characterize fluorescent three-dimensional vascular images. PLoS One 2024; 19:e0289109. [PMID: 38753706 PMCID: PMC11098357 DOI: 10.1371/journal.pone.0289109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 07/11/2023] [Indexed: 05/18/2024] Open
Abstract
The microvasculature facilitates gas exchange, provides nutrients to cells, and regulates blood flow in response to stimuli. Vascular abnormalities are an indicator of pathology for various conditions, such as compromised vessel integrity in small vessel disease and angiogenesis in tumors. Traditional immunohistochemistry enables the visualization of tissue cross-sections containing exogenously labeled vasculature. Although this approach can be utilized to quantify vascular changes within small fields of view, it is not a practical way to study the vasculature on the scale of whole organs. Three-dimensional (3D) imaging presents a more appropriate method to visualize the vascular architecture in tissue. Here we describe the complete protocol that we use to characterize the vasculature of different organs in mice encompassing the methods to fluorescently label vessels, optically clear tissue, collect 3D vascular images, and quantify these vascular images with a semi-automated approach. To validate the automated segmentation of vascular images, one user manually segmented one hundred random regions of interest across different vascular images. The automated segmentation results had an average sensitivity of 83±11% and an average specificity of 91±6% when compared to manual segmentation. Applying this procedure of image analysis presents a method to reliably quantify and characterize vascular networks in a timely fashion. This procedure is also applicable to other methods of tissue clearing and vascular labels that generate 3D images of microvasculature.
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Affiliation(s)
- Danny F. Xie
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Christian Crouzet
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Krystal LoPresti
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Yuke Wang
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Christopher Robinson
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - William Jones
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
| | - Fjolla Muqolli
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
| | - Chuo Fang
- Department of Neurology, University of California-Irvine, Irvine, CA, United States of America
| | - David H. Cribbs
- Institute for Memory Impairments and Neurological Disorders, University of California-Irvine, Irvine, CA, United States of America
| | - Mark Fisher
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Neurology, University of California-Irvine, Irvine, CA, United States of America
- Institute for Memory Impairments and Neurological Disorders, University of California-Irvine, Irvine, CA, United States of America
- Department of Pathology & Laboratory Medicine, University of California-Irvine, Irvine, CA, United States of America
| | - Bernard Choi
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
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Brenna C, Simioni C, Varano G, Conti I, Costanzi E, Melloni M, Neri LM. Optical tissue clearing associated with 3D imaging: application in preclinical and clinical studies. Histochem Cell Biol 2022; 157:497-511. [PMID: 35235045 PMCID: PMC9114043 DOI: 10.1007/s00418-022-02081-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/28/2022] [Indexed: 12/23/2022]
Abstract
Understanding the inner morphology of intact tissues is one of the most competitive challenges in modern biology. Since the beginning of the twentieth century, optical tissue clearing (OTC) has provided solutions for volumetric imaging, allowing the microscopic visualization of thick sections of tissue, organoids, up to whole organs and organisms (for example, mouse or rat). Recently, tissue clearing has also been introduced in clinical settings to achieve a more accurate diagnosis with the support of 3D imaging. This review aims to give an overview of the most recent developments in OTC and 3D imaging and to illustrate their role in the field of medical diagnosis, with a specific focus on clinical applications.
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Affiliation(s)
- Cinzia Brenna
- Department of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.,Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Carolina Simioni
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121, Ferrara, Italy.,LTTA - Electron Microscopy Center, University of Ferrara, 44121, Ferrara, Italy
| | - Gabriele Varano
- Department of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy
| | - Ilaria Conti
- Department of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy
| | - Eva Costanzi
- Department of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy
| | - Mattia Melloni
- Department of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy
| | - Luca Maria Neri
- Department of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy. .,LTTA - Electron Microscopy Center, University of Ferrara, 44121, Ferrara, Italy.
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Zhu J, Liu X, Deng Y, Li D, Yu T, Zhu D. Tissue optical clearing for 3D visualization of vascular networks: A review. Vascul Pharmacol 2021; 141:106905. [PMID: 34506969 DOI: 10.1016/j.vph.2021.106905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 12/01/2022]
Abstract
Reconstruction of the vasculature of intact tissues/organs down to the capillary level is essential for understanding the development and remodeling of vascular networks under physiological and pathological conditions. Optical imaging techniques can provide sufficient resolution to distinguish small vessels with several microns, but the imaging depth is somewhat limited due to the high light scattering of opaque tissue. Recently, various tissue optical clearing methods have been developed to overcome light attenuation and improve the imaging depth both for ex-vivo and in-vivo visualizations. Tissue clearing combined with vessel labeling techniques and advanced optical tomography enables successful mapping of the vasculature of different tissues/organs, as well as dynamically monitoring vessel function under normal and pathological conditions. Here, we briefly introduce the commonly-used labeling strategies for entire vascular networks, the current tissue optical clearing techniques available for various tissues, as well as the advanced optical imaging techniques for fast, high-resolution structural and functional imaging for blood vessels. We also discuss the applications of these techniques in the 3D visualization of vascular networks in normal tissues, and the vascular remodeling in several typical pathological models in clinical research. This review is expected to provide valuable insights for researchers to study the potential mechanisms of various vessel-associated diseases using tissue optical clearing pipeline.
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Affiliation(s)
- Jingtan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Xiaomei Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yating Deng
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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Abstract
Tissue clearing increases the transparency of late developmental stages and enables deep imaging in fixed organisms. Successful implementation of these methodologies requires a good grasp of sample processing, imaging and the possibilities offered by image analysis. In this Primer, we highlight how tissue clearing can revolutionize the histological analysis of developmental processes and we advise on how to implement effective clearing protocols, imaging strategies and analysis methods for developmental biology.
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Affiliation(s)
| | - Nicolas Renier
- Sorbonne Université, Paris Brain Institute – ICM, INSERM, CNRS, AP-HP, Hôpital de la Pitié Salpêtrière, 75013 Paris, France
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Kolesová H, Olejníčková V, Kvasilová A, Gregorovičová M, Sedmera D. Tissue clearing and imaging methods for cardiovascular development. iScience 2021; 24:102387. [PMID: 33981974 PMCID: PMC8086021 DOI: 10.1016/j.isci.2021.102387] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Tissue imaging in 3D using visible light is limited and various clearing techniques were developed to increase imaging depth, but none provides universal solution for all tissues at all developmental stages. In this review, we focus on different tissue clearing methods for 3D imaging of heart and vasculature, based on chemical composition (solvent-based, simple immersion, hyperhydration, and hydrogel embedding techniques). We discuss in detail compatibility of various tissue clearing techniques with visualization methods: fluorescence preservation, immunohistochemistry, nuclear staining, and fluorescent dyes vascular perfusion. We also discuss myocardium visualization using autofluorescence, tissue shrinking, and expansion. Then we overview imaging methods used to study cardiovascular system and live imaging. We discuss heart and vessels segmentation methods and image analysis. The review covers the whole process of cardiovascular system 3D imaging, starting from tissue clearing and its compatibility with various visualization methods to the types of imaging methods and resulting image analysis.
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Affiliation(s)
- Hana Kolesová
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
| | - Veronika Olejníčková
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
| | - Alena Kvasilová
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Martina Gregorovičová
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
| | - David Sedmera
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
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Gómez-Gaviro MV, Sanderson D, Ripoll J, Desco M. Biomedical Applications of Tissue Clearing and Three-Dimensional Imaging in Health and Disease. iScience 2020; 23:101432. [PMID: 32805648 PMCID: PMC7452225 DOI: 10.1016/j.isci.2020.101432] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 12/27/2022] Open
Abstract
Three-dimensional (3D) optical imaging techniques can expand our knowledge about physiological and pathological processes that cannot be fully understood with 2D approaches. Standard diagnostic tests frequently are not sufficient to unequivocally determine the presence of a pathological condition. Whole-organ optical imaging requires tissue transparency, which can be achieved by using tissue clearing procedures enabling deeper image acquisition and therefore making possible the analysis of large-scale biological tissue samples. Here, we review currently available clearing agents, methods, and their application in imaging of physiological or pathological conditions in different animal and human organs. We also compare different optical tissue clearing methods discussing their advantages and disadvantages and review the use of different 3D imaging techniques for the visualization and image acquisition of cleared tissues. The use of optical tissue clearing resources for large-scale biological tissues 3D imaging paves the way for future applications in translational and clinical research.
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Affiliation(s)
- Maria Victoria Gómez-Gaviro
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.
| | - Daniel Sanderson
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Jorge Ripoll
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Manuel Desco
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
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7
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Wilson RL, Owens K, Sumser EK, Fry MV, Stephens KK, Chuecos M, Carrillo M, Schlabritz-Loutsevitch N, Jones HN. Nanoparticle mediated increased insulin-like growth factor 1 expression enhances human placenta syncytium function. Placenta 2020; 93:1-7. [PMID: 32090963 DOI: 10.1016/j.placenta.2020.02.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 02/01/2020] [Accepted: 02/07/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Placental dysfunction is an underlying cause of many major obstetric diseases and treatment options for complications like fetal growth restriction (FGR) are limited .We previously demonstrated nanoparticle delivery of the human insulin-like growth factor 1 (hIGF1) transgene under control of the trophoblast-specific PLAC1 promoter maintains normal fetal growth in a surgically-induced FGR mouse model. However, uptake by human placental syncytiotrophoblast has yet to be determined. METHODS An ex vivo human placenta perfusion model, term placenta villous fragments, and other in vitro syncytiotrophoblast models were used to determine nanoparticle uptake, transgene expression, and functional responses under oxidative stress conditions. RESULTS In the ex vivo perfusion, fluorescence from a Texas-Red conjugated nanoparticle increased in maternal perfusate upon nanoparticle addition and declined by the conclusion of the experiment (P < 0.001. Fluorescent histology confirmed localization in the syncytiotrophoblasts. No Texas-Red fluorescence was detected in the fetal perfusate. Transgene expression of hIGF1 in differentiated BeWo cells, isolated primary trophoblasts and fragments was increased compared to untreated (55,000-fold, P = 0.0003; 95-fold, P = 0.003; 400-fold, P < 0.001, respectively). Functionally, increased hIGF1 expression in villous fragments resulted in translocation of glucose transporter 1 to the syncytiotrophoblast cell membrane and under conditions of oxidative stress in BeWo cells, protected against increased cell death (P < 0.01) and decreased mitochondrial activity (P < 0.01). CONCLUSION The current study confirms that our nanoparticle is capable of uptake in human placental syncytium which results in enhanced transgene expression, functional changes to cellular activity and protection against increased oxidative stress.
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Affiliation(s)
- Rebecca L Wilson
- Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA, 45229.
| | - Kathryn Owens
- Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA, 45229
| | - Emily K Sumser
- Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA, 45229
| | - Matthew V Fry
- Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA, 45229
| | - Kendal K Stephens
- Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA, 45229
| | - Marcel Chuecos
- Texas Tech University Health Sciences Center at the Permian Basin, Odessa, TX, USA, 79763
| | - Maira Carrillo
- Texas Tech University Health Sciences Center at the Permian Basin, Odessa, TX, USA, 79763
| | | | - Helen N Jones
- Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, USA, 45229
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de Maar JS, Sofias AM, Porta Siegel T, Vreeken RJ, Moonen C, Bos C, Deckers R. Spatial heterogeneity of nanomedicine investigated by multiscale imaging of the drug, the nanoparticle and the tumour environment. Am J Cancer Res 2020; 10:1884-1909. [PMID: 32042343 PMCID: PMC6993242 DOI: 10.7150/thno.38625] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 11/13/2019] [Indexed: 02/07/2023] Open
Abstract
Genetic and phenotypic tumour heterogeneity is an important cause of therapy resistance. Moreover, non-uniform spatial drug distribution in cancer treatment may cause pseudo-resistance, meaning that a treatment is ineffective because the drug does not reach its target at sufficient concentrations. Together with tumour heterogeneity, non-uniform drug distribution causes “therapy heterogeneity”: a spatially heterogeneous treatment effect. Spatial heterogeneity in drug distribution occurs on all scales ranging from interpatient differences to intratumour differences on tissue or cellular scale. Nanomedicine aims to improve the balance between efficacy and safety of drugs by targeting drug-loaded nanoparticles specifically to tumours. Spatial heterogeneity in nanoparticle and payload distribution could be an important factor that limits their efficacy in patients. Therefore, imaging spatial nanoparticle distribution and imaging the tumour environment giving rise to this distribution could help understand (lack of) clinical success of nanomedicine. Imaging the nanoparticle, drug and tumour environment can lead to improvements of new nanotherapies, increase understanding of underlying mechanisms of heterogeneous distribution, facilitate patient selection for nanotherapies and help assess the effect of treatments that aim to reduce heterogeneity in nanoparticle distribution. In this review, we discuss three groups of imaging modalities applied in nanomedicine research: non-invasive clinical imaging methods (nuclear imaging, MRI, CT, ultrasound), optical imaging and mass spectrometry imaging. Because each imaging modality provides information at a different scale and has its own strengths and weaknesses, choosing wisely and combining modalities will lead to a wealth of information that will help bring nanomedicine forward.
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Jing D, Yi Y, Luo W, Zhang S, Yuan Q, Wang J, Lachika E, Zhao Z, Zhao H. Tissue Clearing and Its Application to Bone and Dental Tissues. J Dent Res 2019; 98:621-631. [PMID: 31009584 DOI: 10.1177/0022034519844510] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Opaqueness of animal tissue can be attributed mostly to light absorption and light scattering. In most noncleared tissue samples, confocal images can be acquired at no more than a 100-µm depth. Tissue-clearing techniques have emerged in recent years in the neuroscience field. Many tissue-clearing methods have been developed, and they all follow similar working principles. During the tissue-clearing process, chemical or physical treatments are applied to remove components blocking or scattering the light. Finally, samples are immersed in a designated clearing medium to achieve a uniform refractive index and to gain transparency. Once the transparency is reached, images can be acquired even at several millimeters of depth with high resolution. Tissue clearing has become an essential tool for neuroscientists to investigate the neural connectome or to analyze spatial information of various types of brain cells. Other than neural science research, tissue-clearing techniques also have applications for bone research. Several methods have been developed for clearing bones. Clearing treatment enables 3-dimensional imaging of bones without sectioning and provides important new insights that are difficult or impossible to acquire with conventional approaches. Application of tissue-clearing technique on dental research remains limited. This review will provide an overview of the recent literature related to the methods and application of various tissue-clearing methods. The following aspects will be covered: general principles for the tissue-clearing technique, current available methods for clearing bones and teeth, general principles of 3-dimensional imaging acquisition and data processing, applications of tissue clearing on studying biological processes within bones and teeth, and future directions for 3-dimensional imaging.
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Affiliation(s)
- D Jing
- 1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA.,2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - Y Yi
- 1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA.,2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - W Luo
- 1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA
| | - S Zhang
- 2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - Q Yuan
- 2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - J Wang
- 2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - E Lachika
- 3 Intelligent Imaging Innovations (3i), Denver, CO, USA
| | - Z Zhao
- 2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - H Zhao
- 1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA
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