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Wu Y, Ke J, Ye S, Shan LL, Xu S, Guo SF, Li MT, Qiao TC, Peng ZY, Wang YL, Liu MY, Wang H, Feng JF, Han Y. 3D Visualization of Whole Brain Vessels and Quantification of Vascular Pathology in a Chronic Hypoperfusion Model Causing White Matter Damage. Transl Stroke Res 2024; 15:659-671. [PMID: 37222915 DOI: 10.1007/s12975-023-01157-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/02/2023] [Accepted: 05/11/2023] [Indexed: 05/25/2023]
Abstract
Chronic cerebral hypoperfusion is an important pathological factor in many neurodegenerative diseases, such as cerebral small vessel disease (CSVD). One of the most used animal models for chronic cerebral hypoperfusion is the bilateral common carotid artery stenosis (BCAS) mouse. For the therapy of CSVD and other diseases, it will be beneficial to understand the pathological alterations of the BCAS mouse, particularly vascular pathological changes. A mouse model of BCAS was used, and 8 weeks later, cognitive function of the mice was examined by using novel object recognition test and eight-arm radial maze test. 11.7 T magnetic resonance imaging (MRI) and luxol fast blue staining were used to evaluate the injury of the corpus callosum (CC), anterior commissure (AC), internal capsule (IC), and optic tract (Opt) in the cerebral white matter of mice. Three-dimensional vascular images of the whole brain of mice were acquired using fluorescence micro-optical sectioning tomography (fMOST) with a high resolution of 0.32 × 0.32 × 1.00 μm3. Then, the damaged white matter regions were further extracted to analyze the vessel length density, volume fraction, tortuosity, and the number of vessels of different internal diameters. The mouse cerebral caudal rhinal vein was also extracted and analyzed for its branch number and divergent angle in this study. BCAS modeling for 8 weeks resulted in impaired spatial working memory, reduced brain white matter integrity, and myelin degradation in mice, and CC showed the most severe white matter damage. 3D revascularization of the whole mouse brain showed that the number of large vessels was reduced and the number of small vessels was increased in BCAS mice. Further analysis revealed that the vessel length density and volume fraction in the damaged white matter region of BCAS mice were significantly reduced, and the vascular lesions were most noticeable in the CC. At the same time, the number of small vessels in the above white matter regions was significantly reduced, while the number of microvessels was significantly increased in BCAS mice, and the vascular tortuosity was also significantly increased. In addition, the analysis of caudal rhinal vein extraction revealed that the number of branches and the average divergent angle in BCAS mice were significantly reduced. The BCAS modeling for 8 weeks will lead to vascular lesions in whole brain of mice, and the caudal nasal vein was also damaged, while BCAS mice mainly mitigated the damages by increasing microvessels. What is more, the vascular lesions in white matter of mouse brain can cause white matter damage and spatial working memory deficit. These results provide evidence for the vascular pathological alterations caused by chronic hypoperfusion.
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Affiliation(s)
- Yang Wu
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Jia Ke
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Song Ye
- Wuhan OE-Bio Co., Ltd., G2 zone, Future City 999, Gaoxin boulevard East Lake High-Tech Development zone, Wuhan, 430074, China
| | - Li-Li Shan
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Shuai Xu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 825 Zhangheng Road, Shanghai, 200127, China
| | - Shu-Fen Guo
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Meng-Ting Li
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Tian-Ci Qiao
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Zheng-Yu Peng
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - Yi-Lin Wang
- Georgetown Preparatory School, Washington, DC, USA
| | - Ming-Yuan Liu
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 825 Zhangheng Road, Shanghai, 200127, China.
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 825 Zhangheng Road, Shanghai, 200127, China.
| | - Yan Han
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, 110 Ganhe Road, Shanghai, 200437, China.
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Zhang Y, Wu P, Chen S, Gong H, Yang X. FCE-Net: a fast image contrast enhancement method based on deep learning for biomedical optical images. BIOMEDICAL OPTICS EXPRESS 2022; 13:3521-3534. [PMID: 35781947 PMCID: PMC9208612 DOI: 10.1364/boe.459347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/30/2022] [Accepted: 05/03/2022] [Indexed: 06/15/2023]
Abstract
Optical imaging is an important tool for exploring and understanding structures of biological tissues. However, due to the heterogeneity of biological tissues, the intensity distribution of the signal is not uniform and contrast is normally degraded in the raw image. It is difficult to be used for subsequent image analysis and information extraction directly. Here, we propose a fast image contrast enhancement method based on deep learning called Fast Contrast Enhancement Network (FCE-Net). We divided network into dual-path to simultaneously obtain spatial information and large receptive field. And we introduced the spatial attention mechanism to enhance the inter-spatial relationship. We showed that the cell counting task of mouse brain images processed by FCE-Net was with average precision rate of 97.6% ± 1.6%, and average recall rate of 98.4% ± 1.4%. After processing with FCE-Net, the images from vascular extraction (DRIVE) dataset could be segmented with spatial attention U-Net (SA-UNet) to achieve state-of-the-art performance. By comparing FCE-Net with previous methods, we demonstrated that FCE-Net could obtain higher accuracy while maintaining the processing speed. The images with size of 1024 × 1024 pixels could be processed by FCE-Net with 37fps based on our workstation. Our method has great potential for further image analysis and information extraction from large-scale or dynamic biomedical optical images.
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Affiliation(s)
- Yunfei Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China
- These authors contributed equally to this work
| | - Peng Wu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China
- These authors contributed equally to this work
| | - Siqi Chen
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215123, China
| | - Xiaoquan Yang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215123, China
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Simultaneous amplification of multiple immunofluorescence signals via cyclic staining of target molecules using mutually cross-adsorbed antibodies. Sci Rep 2022; 12:8780. [PMID: 35610501 PMCID: PMC9130514 DOI: 10.1038/s41598-022-12808-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 05/11/2022] [Indexed: 11/09/2022] Open
Abstract
Amplification of immunofluorescence (IF) signals is becoming increasingly critical in cancer research and neuroscience. Recently, we put forward a new signal amplification technique, which we termed fluorescent signal amplification via cyclic staining of target molecules (FRACTAL). FRACTAL amplifies IF signals by repeatedly labeling target proteins with a pair of secondary antibodies that bind to each other. However, simultaneous amplification of multiple IF signals via FRACTAL has not yet been demonstrated because of cross-reactivity between the secondary antibodies. In this study, we show that mutual cross-adsorption between antibodies can eliminate all forms of cross-reactions between them, enabling simultaneous amplification of multiple IF signals. First, we show that a typical cross-adsorption process-in which an antibody binds to proteins with potential cross-reactivity with the antibody-cannot eliminate cross-reactions between antibodies in FRACTAL. Next, we show that all secondary antibodies used in FRACTAL need to be mutually cross-adsorbed to eliminate all forms of cross-reactivity, and then we demonstrate simultaneous amplification of multiple IF signals using these antibodies. Finally, we show that multiplexed FRACTAL can be applied to expansion microscopy to achieve higher fluorescence intensities after expansion. Multiplexed FRACTAL is a highly versatile tool for standard laboratories, as it amplifies multiple IF signals without the need for custom antibodies.
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Yin X, Zhang X, Zhang J, Yang W, Sun X, Zhang H, Gao Z, Jiang H. High-Resolution Digital Panorama of Multiple Structures in Whole Brain of Alzheimer's Disease Mice. Front Neurosci 2022; 16:870520. [PMID: 35516801 PMCID: PMC9067162 DOI: 10.3389/fnins.2022.870520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/11/2022] [Indexed: 11/24/2022] Open
Abstract
Simultaneously visualizing Amyloid-β (Aβ) plaque with its surrounding brain structures at the subcellular level in the intact brain is essential for understanding the complex pathology of Alzheimer's disease, but is still rarely achieved due to the technical limitations. Combining the micro-optical sectioning tomography (MOST) system, whole-brain Nissl staining, and customized image processing workflow, we generated a whole-brain panorama of Alzheimer's disease mice without specific labeling. The workflow employed the steps that include virtual channel splitting, feature enhancement, iso-surface rendering, direct volume rendering, and feature fusion to extract and reconstruct the different signals with distinct gray values and morphologies. Taking advantage of this workflow, we found that the denser-distribution areas of Aβ plaques appeared with relatively more somata and smaller vessels, but show a dissimilar distributing pattern with nerve tracts. In addition, the entorhinal cortex and adjacent subiculum regions present the highest density and biggest diameter of plaques. The neuronal processes in the vicinity of these Aβ plaques showed significant structural alternation such as bending or abrupt branch ending. The capillaries inside or adjacent to the plaques were observed with abundant distorted micro-vessels and abrupt ending. Depicting Aβ plaques, somata, nerve processes and tracts, and blood vessels simultaneously, this panorama enables us for the first time, to analyze how the Aβ plaques interact with capillaries, somata, and processes at a submicron resolution of 3D whole-brain scale, which reveals potential pathological effects of Aβ plaques from a new cross-scale view. Our approach opens a door to routine systematic studies of complex interactions among brain components in mouse models of Alzheimer's disease.
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Affiliation(s)
- Xianzhen Yin
- Center for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- Lingang Laboratory, Shanghai, China
- *Correspondence: Xianzhen Yin
| | - Xiaochuan Zhang
- Center for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Jingjing Zhang
- CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Weicheng Yang
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xian Sun
- Center for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Haiyan Zhang
- CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- Haiyan Zhang
| | - Zhaobing Gao
- CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- Zhongshan Institute of Drug Discovery, Institution for Drug Discovery Innovation, Chinese Academy of Science, Zhongshan, China
- Zhaobing Gao
| | - Hualiang Jiang
- CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- Lingang Laboratory, Shanghai, China
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
- School of Life Science and Technology, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China
- Hualiang Jiang
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Multiscale reconstruction of various vessels in the intact murine liver lobe. Commun Biol 2022; 5:260. [PMID: 35332265 PMCID: PMC8948268 DOI: 10.1038/s42003-022-03221-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/01/2022] [Indexed: 11/09/2022] Open
Abstract
The liver contains a variety of vessels and participates in miscellaneous physiological functions. While past studies generally focused on certain hepatic vessels, we simultaneously obtained all the vessels and cytoarchitectural information of the intact mouse liver lobe at single-cell resolution. Here, taking structural discrepancies of various vessels into account, we reconstruct and visualize the portal vein, hepatic vein, hepatic artery, intrahepatic bile duct, intrahepatic lymph of an intact liver lobe and peribiliary plexus in its selected local areas, providing a technology roadmap for studying the fine hepatic vascular structures and their spatial relationship, which will help research into liver diseases and evaluation of medical efficacies in the future.
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Ren M, Tian J, Sun Q, Chen S, Luo T, Jia X, Jiang T, Luo Q, Gong H, Li X. Plastic embedding for precise imaging of large-scale biological tissues labeled with multiple fluorescent dyes and proteins. BIOMEDICAL OPTICS EXPRESS 2021; 12:6730-6745. [PMID: 34858677 PMCID: PMC8606158 DOI: 10.1364/boe.435120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/03/2021] [Accepted: 09/15/2021] [Indexed: 06/13/2023]
Abstract
Resin embedding of multi-color labeled whole organs is the primary step to preserve structural information for visualization of fine structures in three dimensions. It is essential to study the morphological characteristics, spatial and positional relationships of the millions of neurons, and the intricate network of blood vessels with fluorescent labels in the brain. However, the current resin embedding method is inadequate because of incompatibilities with fluorescent dyes, making it difficult to reconstruct a variety of structures for the interpretation of their complex spatial relationships. We modified the resin embedding method for large biological tissues labeled with multiple fluorescent dyes and proteins through different labeling strategies. With TrueBlack as the background fluorescence inhibitor in the glycol methacrylate (GMA) embedding, we referred to the method as GMA-T (Glycol methacrylate with TB). In the GMA-T embedded mouse brains, structures labeled with fluorescent proteins and dyes were visualized in millimeter-scale networks with sub-cellular resolution, allowing quantitative analysis of different anatomical structures in the same brain, including neurons and blood vessels. In combination with high-resolution whole-brain imaging, it is possible to obtain a variety of fluorescence labeled structures in just a few days. We quantified the distribution and morphology of the tdTomato-labeled vasoactive intestinal polypeptide (VIP) neurons and the BSA-FITC labeled blood vessels in the same brain. These results demonstrated that VIP neurons and blood vessels have their own unique distribution patterns and morphological characteristics among cortical regions and different layers in cerebral cortex, and there was no significant correlation between VIP neurons and vessels. This approach provides a novel approach to study the interaction among different anatomical structures within large-volume biological samples labeled with multiple fluorescent dyes and proteins, which helps elucidating the complex anatomical characteristics of biological organs.
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Affiliation(s)
- Miao Ren
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
- These authors contributed equally to this paper
| | - Jiaojiao Tian
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- These authors contributed equally to this paper
| | - Qingtao Sun
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Siqi Chen
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Ting Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xueyan Jia
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215125, China
| | - Tao Jiang
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215125, China
| | - Qingming Luo
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
| | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215125, China
| | - Xiangning Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215125, China
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Wang J, Li Y, Yu H, Li G, Bai S, Chen S, Zhang P, Tang Z. Dl-3-N-Butylphthalide Promotes Angiogenesis in an Optimized Model of Transient Ischemic Attack in C57BL/6 Mice. Front Pharmacol 2021; 12:751397. [PMID: 34658892 PMCID: PMC8513739 DOI: 10.3389/fphar.2021.751397] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/15/2021] [Indexed: 11/16/2022] Open
Abstract
Transient ischemic attack (TIA) has been widely regarded as a clinical entity. Even though magnetic resonance imaging (MRI) results of TIA patients are negative, potential neurovascular damage might be present, and may account for long-term cognitive impairment. Animal models that simulate human diseases are essential tools for in-depth study of TIA. Previous studies have clarified that Dl-3-N-butylphthalide (NBP) promotes angiogenesis after stroke. However, the effects of NBP on TIA remain unknown. This study aims to develop an optimized TIA model in C57BL/6 mice to explore the microscopic evidence of ischemic injury after TIA, and investigate the therapeutic effects of NBP on TIA. C57BL/6 mice underwent varying durations (7, 8, 9 or 10 min) of middle cerebral artery occlusion (MCAO). Cerebral artery occlusion and reperfusion were assessed by laser speckle contrast imaging. TIA and ischemic stroke were distinguished by neurological testing and MRI examination at 24 h post-operation. Neuronal apoptosis was examined by TUNEL staining. Images of submicron cerebrovascular networks were obtained via micro-optical sectioning tomography. Subsequently, the mice were randomly assigned to a sham-operated group, a vehicle-treated TIA group or an NBP-treated TIA group. Vascular density was determined by immunofluorescent staining and fluorescein isothiocyanate method, and the expression of angiogenic growth factors were detected by western blot analysis. We found that an 8-min or shorter period of ischemia induced neither permanent neurological deficits nor MRI detectable brain lesions in C57BL/6 mice, but histologically caused neuronal apoptosis and cerebral vasculature abnormalities. NBP treatment increased the number of CD31+ microvessels and perfused microvessels after TIA. NBP also up-regulated the expression of VEGF, Ang-1 and Ang-2 and improved the cerebrovascular network. In conclusion, 8 min or shorter cerebral ischemia induced by the suture MCAO method is an appropriate TIA model in C57BL/6 mice, which conforms to the definition of human TIA, but causes microscopic neurovascular impairment. NBP treatment increased the expression of angiogenic growth factors, promoted angiogenesis and improved cerebral microvessels after TIA. Our study provides new insights on the pathogenesis and potential treatments of TIA.
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Affiliation(s)
| | | | | | | | | | | | - Ping Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhouping Tang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li L, Rao G, Lv X, Chen R, Cheng X, Wang X, Zeng S, Liu X. Chemical reactivation of fluorescein isothiocyanate immunofluorescence-labeled resin-embedded samples. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-4. [PMID: 29427410 DOI: 10.1117/1.jbo.23.2.020501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 01/12/2018] [Indexed: 06/08/2023]
Abstract
Resin embedding is widely used and facilitates microscopic imaging of biological tissues. In contrast, quenching of fluorescence during embedding process hinders the application of resin embedding for imaging of fluorescence-labeled samples. For samples expressing fluorescent proteins, it has been demonstrated that the weakened fluorescence could be recovered by reactivating the fluorophore with alkaline buffer. We extended this idea to immunofluorescence-labeling technology. We showed that the fluorescence of pH-sensitive fluorescein isothiocyanate (FITC) was quenched after resin embedding but reactivated after treating by alkaline buffer. We observed 138.5% fluorescence preservation ratio of reactivated state, sixfold compared with the quenched state in embedding resin, which indicated its application for fluorescence imaging of high signal-to-background ratio. Furthermore, we analyzed the chemical reactivation mechanism of FITC fluorophore. This work would show a way for high-resolution imaging of immunofluorescence-labeled samples embedded in resin.
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Affiliation(s)
- Longhui Li
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Gong Rao
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Xiaohua Lv
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Ruixi Chen
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Xiaofeng Cheng
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Xiaojun Wang
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Shaoqun Zeng
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
| | - Xiuli Liu
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britto, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, Collabor, China
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