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Zhang J, Qiao W, Jin R, Li H, Gong H, Chen SC, Luo Q, Yuan J. Optical sectioning methods in three-dimensional bioimaging. LIGHT, SCIENCE & APPLICATIONS 2025; 14:11. [PMID: 39741128 DOI: 10.1038/s41377-024-01677-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 09/24/2024] [Accepted: 10/28/2024] [Indexed: 01/02/2025]
Abstract
In recent advancements in life sciences, optical microscopy has played a crucial role in acquiring high-quality three-dimensional structural and functional information. However, the quality of 3D images is often compromised due to the intense scattering effect in biological tissues, compounded by several issues such as limited spatiotemporal resolution, low signal-to-noise ratio, inadequate depth of penetration, and high phototoxicity. Although various optical sectioning techniques have been developed to address these challenges, each method adheres to distinct imaging principles for specific applications. As a result, the effective selection of suitable optical sectioning techniques across diverse imaging scenarios has become crucial yet challenging. This paper comprehensively overviews existing optical sectioning techniques and selection guidance under different imaging scenarios. Specifically, we categorize the microscope design based on the spatial relationship between the illumination and detection axis, i.e., on-axis and off-axis. This classification provides a unique perspective to compare the implementation and performances of various optical sectioning approaches. Lastly, we integrate selected optical sectioning methods on a custom-built off-axis imaging system and present a unique perspective for the future development of optical sectioning techniques.
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Affiliation(s)
- Jing Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, Innovation Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Qiao
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, Innovation Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Jin
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, Innovation Institute, Huazhong University of Science and Technology, Wuhan, China
| | - Hongjin Li
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering, N.T, Hong Kong, China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, Innovation Institute, Huazhong University of Science and Technology, Wuhan, China
- HUST-Suzhou Institute for Brainsmatics, Suzhou, China
| | - Shih-Chi Chen
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering, N.T, Hong Kong, China.
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China.
| | - Qingming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
- MoE Key Laboratory for Biomedical Photonics, Innovation Institute, Huazhong University of Science and Technology, Wuhan, China.
- HUST-Suzhou Institute for Brainsmatics, Suzhou, China.
- School of Biomedical Engineering, Hainan University, Haikou, China.
| | - Jing Yuan
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
- MoE Key Laboratory for Biomedical Photonics, Innovation Institute, Huazhong University of Science and Technology, Wuhan, China.
- HUST-Suzhou Institute for Brainsmatics, Suzhou, China.
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Xue Y, Boivin JR, Wadduwage DN, Park JK, Nedivi E, So PTC. Multiline orthogonal scanning temporal focusing (mosTF) microscopy for scattering reduction in in vivo brain imaging. Sci Rep 2024; 14:10954. [PMID: 38740797 PMCID: PMC11091065 DOI: 10.1038/s41598-024-57208-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/15/2024] [Indexed: 05/16/2024] Open
Abstract
Temporal focusing two-photon microscopy has been utilized for high-resolution imaging of neuronal and synaptic structures across volumes spanning hundreds of microns in vivo. However, a limitation of temporal focusing is the rapid degradation of the signal-to-background ratio and resolution with increasing imaging depth. This degradation is due to scattered emission photons being widely distributed, resulting in a strong background. To overcome this challenge, we have developed multiline orthogonal scanning temporal focusing (mosTF) microscopy. mosTF captures a sequence of images at each scan location of the excitation line. A reconstruction algorithm then reassigns scattered photons back to their correct scan positions. We demonstrate the effectiveness of mosTF by acquiring neuronal images of mice in vivo. Our results show remarkable improvements in in vivo brain imaging with mosTF, while maintaining its speed advantage.
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Affiliation(s)
- Yi Xue
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biomedical Engineering, University of California, Davis, CA, 95616, USA
| | - Josiah R Boivin
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Dushan N Wadduwage
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Jong Kang Park
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Elly Nedivi
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Peter T C So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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3
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Xue Y, Boivin JR, Wadduwage DN, Park JK, Nedivi E, So PT. Multiline Orthogonal Scanning Temporal Focusing (mosTF) Microscopy for Scattering Reduction in High-speed in vivo Brain Imaging. RESEARCH SQUARE 2023:rs.3.rs-3576146. [PMID: 38014213 PMCID: PMC10680946 DOI: 10.21203/rs.3.rs-3576146/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Temporal focusing two-photon microscopy enables high resolution imaging of fine structures in vivo over a large volume. A limitation of temporal focusing is that signal-to-background ratio and resolution degrade rapidly with increasing imaging depth. This degradation originates from the scattered emission photons are widely distributed resulting in a strong background. We have developed Multiline Orthogonal Scanning Temporal Focusing (mosTF) microscopy that overcomes this problem. mosTF captures a sequence of images at each scan location of the excitation line, followed by a reconstruction algorithm reassigns scattered photons back to the correct scan position. We demonstrate mosTF by acquiring mice neuronal images in vivo. Our results show remarkably improvements with mosTF for in vivo brain imaging while maintaining its speed advantage.
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Affiliation(s)
- Yi Xue
- Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biomedical Engineering, University of California, Davis, CA 95616, USA
| | - Josiah R. Boivin
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Dushan N. Wadduwage
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138
| | - Jong Kang Park
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Elly Nedivi
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Peter T.C. So
- Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
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4
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Durst ME, Yurak S, Moscatelli J, Linhares I, Vargas R. Remote Focusing in a Temporal Focusing Microscope. OSA CONTINUUM 2021; 4:2757-2770. [PMID: 35531308 PMCID: PMC9075704 DOI: 10.1364/osac.443116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/18/2021] [Indexed: 06/14/2023]
Abstract
In a temporal focusing microscope, dispersion can remotely shift the temporal focal plane axially, but only a single depth can be in focus at a time on a fixed camera. In this paper, we demonstrate remote focusing in a temporal focusing microscope. Dispersion tuning with an electrically tunable lens (ETL) in a 4 f pulse shaper scans the excitation plane axially, and another ETL in the detection path keeps the shifted excitation plane in focus on the camera. Image stacks formed using two ETLs versus a traditional stage scan are equivalent.
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Shi R, Zhang Y, Zhou T, Kong L. HiLo Based Line Scanning Temporal Focusing Microscopy for High-Speed, Deep Tissue Imaging. MEMBRANES 2021; 11:membranes11080634. [PMID: 34436397 PMCID: PMC8400873 DOI: 10.3390/membranes11080634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 01/12/2023]
Abstract
High-speed, optical-sectioning imaging is highly desired in biomedical studies, as most bio-structures and bio-dynamics are in three-dimensions. Compared to point-scanning techniques, line scanning temporal focusing microscopy (LSTFM) is a promising method that can achieve high temporal resolution while maintaining a deep penetration depth. However, the contrast and axial confinement would still be deteriorated in scattering tissue imaging. Here, we propose a HiLo-based LSTFM, utilizing structured illumination to inhibit the fluorescence background and, thus, enhance the image contrast and axial confinement in deep imaging. We demonstrate the superiority of our method by performing volumetric imaging of neurons and dynamical imaging of microglia in mouse brains in vivo.
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Affiliation(s)
- Ruheng Shi
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China;
| | - Yuanlong Zhang
- Department of Automation, Tsinghua University, Beijing 100084, China; (Y.Z.); (T.Z.)
| | - Tiankuang Zhou
- Department of Automation, Tsinghua University, Beijing 100084, China; (Y.Z.); (T.Z.)
- Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
| | - Lingjie Kong
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China;
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China
- Correspondence:
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6
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Zhuang C, Li X, Zhang Y, Kong L, Xie H, Dai Q. Photobleaching Imprinting Enhanced Background Rejection in Line-Scanning Temporal Focusing Microscopy. Front Chem 2021; 8:618131. [PMID: 33392156 PMCID: PMC7773834 DOI: 10.3389/fchem.2020.618131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 11/20/2020] [Indexed: 11/13/2022] Open
Abstract
Compared with two-photon point-scanning microscopy, two-photon temporal focusing microscopy (2pTFM) provides a parallel high-speed imaging strategy with optical sectioning capability. Owing to out-of-focus fluorescence induced by scattering, 2pTFM suffers deteriorated signal-to-background ratio (SBR) for deep imaging in turbid tissue, Here, we utilized the photobleaching property of fluorophore to eliminate out-of-focus fluorescence. According to different decay rates in different focal depth, we extract the in-focus signals out of backgrounds through time-lapse images. We analyzed the theoretical foundations of photobleaching imprinting of the line-scanning temporal focusing microscopy, simulated implementation for background rejection, and demonstrated the contrast enhancement in MCF-10A human mammary epithelial cells and cleared Thy1-YFP mouse brains. More than 50% of total background light rejection was achieved, providing higher SBR images of the MCF-10A samples and mouse brains. The photobleaching imprinting method can be easily adapted to other fluorescence dyes or proteins, which may have application in studies involving relatively large and nontransparent organisms.
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Affiliation(s)
- Chaowei Zhuang
- Department of Automation, Tsinghua University, Beijing, China
| | - Xinyang Li
- Department of Automation, Tsinghua University, Beijing, China
| | - Yuanlong Zhang
- Department of Automation, Tsinghua University, Beijing, China
| | - Lingjie Kong
- Department of Precision Instrument, Tsinghua University, Beijing, China
| | - Hao Xie
- Department of Automation, Tsinghua University, Beijing, China
| | - Qionghai Dai
- Department of Automation, Tsinghua University, Beijing, China.,Beijing National Research Center for Information Science and Technology, Beijing, China.,Institute for Brain and Cognitive Science, Tsinghua University, Beijing, China.,Beijing Laboratory of Brain and Cognitive Intelligence, Beijing Municipal Education Commission, Beijing, China
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7
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Chang CY, Lin CY, Hu YY, Tsai SF, Hsu FC, Chen SJ. Temporal focusing multiphoton microscopy with optimized parallel multiline scanning for fast biotissue imaging. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200171RR. [PMID: 33386708 PMCID: PMC7778456 DOI: 10.1117/1.jbo.26.1.016501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 12/09/2020] [Indexed: 06/12/2023]
Abstract
SIGNIFICANCE Line scanning-based temporal focusing multiphoton microscopy (TFMPM) has superior axial excitation confinement (AEC) compared to conventional widefield TFMPM, but the frame rate is limited due to the limitation of the single line-to-line scanning mechanism. The development of the multiline scanning-based TFMPM requires only eight multiline patterns for full-field uniform multiphoton excitation and it still maintains superior AEC. AIM The optimized parallel multiline scanning TFMPM is developed, and the performance is verified with theoretical simulation. The system provides a sharp AEC equivalent to the line scanning-based TFMPM, but fewer scans are required. APPROACH A digital micromirror device is integrated in the TFMPM system and generates the multiline pattern for excitation. Based on the result of single-line pattern with sharp AEC, we can further model the multiline pattern to find the best structure that has the highest duty cycle together with the best AEC performance. RESULTS The AEC is experimentally improved to 1.7 μm from the 3.5 μm of conventional TFMPM. The adopted multiline pattern is akin to a pulse-width-modulation pattern with a spatial period of four times the diffraction-limited line width. In other words, ideally only four π / 2 spatial phase-shift scans are required to form a full two-dimensional image with superior AEC instead of image-size-dependent line-to-line scanning. CONCLUSIONS We have demonstrated the developed parallel multiline scanning-based TFMPM has the multiline pattern for sharp AEC and the least scans required for full-field uniform excitation. In the experimental results, the temporal focusing-based multiphoton images of disordered biotissue of mouse skin with improved axial resolution due to the near-theoretical limit AEC are shown to clearly reduce background scattering.
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Affiliation(s)
- Chia-Yuan Chang
- National Cheng Kung University, Department of Mechanical Engineering, Tainan, Taiwan
| | - Chun-Yun Lin
- National Chiao Tung University, College of Photonics, Tainan, Taiwan
| | - Yvonne Y. Hu
- National Cheng Kung University, Department of Photonics, Tainan, Taiwan
| | - Sheng-Feng Tsai
- National Cheng Kung University, Department of Cell Biology and Anatomy, Tainan, Taiwan
| | - Feng-Chun Hsu
- National Chiao Tung University, College of Photonics, Tainan, Taiwan
| | - Shean-Jen Chen
- National Chiao Tung University, College of Photonics, Tainan, Taiwan
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Kim H, Seo YH, Jeon J, Jeong KH. Lissajous scanning structured illumination microscopy. BIOMEDICAL OPTICS EXPRESS 2020; 11:5575-5585. [PMID: 33149972 PMCID: PMC7587278 DOI: 10.1364/boe.404220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/10/2020] [Accepted: 09/10/2020] [Indexed: 06/11/2023]
Abstract
High-resolution fluorescent microscopic imaging techniques are in high demand to observe detailed structures or dynamic mechanisms of biological samples. Structured illumination microscopy (SIM) has grabbed much attention in super-resolution imaging due to simple configuration, high compatibility with common fluorescent molecules, and fast image acquisition. Here, we report Lissajous scanning SIM (LS-SIM) by using a high fill-factor Lissajous scanning micromirror and laser beam modulation. The LS-SIM was realized by a Lissajous scanned structured illumination module, relay optics, and a conventional fluorescent microscope. The micromirror comprises an inner mirror and an outer frame, which are scanned at pseudo-resonance with electrostatic actuation. The biaxial scanning frequencies are selected by the frequency selection rule for high fill-factor (> 80%) Lissajous scanning. Structured illumination (SI) was then realized by modulating the intensity of a laser beam at the least common multiple (LCM) of the scanning frequencies. A compact Lissajous scanned SI module containing a fiber-optic collimator and Lissajous micromirror has been fully packaged and coupled with relay optics and a fiber-based diode pumped solid state (DPSS) laser including acousto-optic-modulator (AOM). Various structured images were obtained by shifting the phase and orientation of the illumination patterns and finally mounted with a conventional fluorescent microscope. The LS-SIM has experimentally demonstrated high-resolution fluorescent microscopic imaging of reference targets and human lung cancer cell PC-9 cells. The LS-SIM exhibits the observable region in spatial frequency space over 2x, the line-edge sharpness over 1.5x, and the peak-to-valley (P-V) ratio over 2x, compared to widefield fluorescent microscopy. This method can provide a new route for advanced high-resolution fluorescent microscopic imaging.
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Rowlands CJ, Bruns OT, Franke D, Fukamura D, Jain RK, Bawendi MG, So PTC. Increasing the penetration depth of temporal focusing multiphoton microscopy for neurobiological applications. JOURNAL OF PHYSICS D: APPLIED PHYSICS 2019; 52:264001. [PMID: 33191950 PMCID: PMC7655118 DOI: 10.1088/1361-6463/ab16b4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 03/30/2019] [Accepted: 04/05/2019] [Indexed: 06/11/2023]
Abstract
The first ever demonstration of temporal focusing with short wave infrared (SWIR) excitation and emission is demonstrated, achieving a penetration depth of 500 µm in brain tissue. This is substantially deeper than the highest previously-reported values for temporal focusing imaging in brain tissue, and demonstrates the value of these optimized wavelengths for neurobiological applications.
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Affiliation(s)
| | - Oliver T Bruns
- Helmholtz Pioneer Campus (HPC), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Daniel Franke
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Dai Fukamura
- Edwin L. Steele Laboratory for Tumour Biology, Massachusetts General Hospital, Boston, MA, United States of America
| | - Rakesh K Jain
- Edwin L. Steele Laboratory for Tumour Biology, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Cambridge, MA, United States of America
| | - Moungi G Bawendi
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Peter T C So
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America
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10
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Zheng Y, Chen J, Shi X, Zhu X, Wang J, Huang L, Si K, Sheppard CJR, Gong W. Two-photon focal modulation microscopy for high-resolution imaging in deep tissue. JOURNAL OF BIOPHOTONICS 2019; 12:e201800247. [PMID: 30255623 DOI: 10.1002/jbio.201800247] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 09/24/2018] [Indexed: 05/25/2023]
Abstract
Two-photon microscopy (2PM) is one of the most widely used tools for in vivo deep tissue imaging. However, the spatial resolution and penetration depth are still limited due to the strong scattering background. Here we demonstrate a two-photon focal modulation microscopy. By utilizing the modulation and demodulation techniques, background rejection capability is enhanced, thus spatial resolution and imaging penetration depth are improved. Compared with 2PM, the transverse resolution is increased by 70%, while the axial resolution is increased to 2-fold. Furthermore, when applied in conventional 2PM mode, it can achieve inertial-free scanning in either transverse or axial direction with in principle unlimited scanning speed. Finally, we applied 2PFMM in thick scattering samples to further examine the imaging performance. The results show that the signal-to-background ratio of 2PFMM can be improved up to five times of 2PM at the depth of 500 μm. Fluorescent imaging in the mouse brain tissue. 3D Thy1-GFP hippocampal neurons imaged by (A) 2PM compared with (B) 2PFMM; (C-H) xy maximum-intensity projection imaged by 2PM compared with 2PFMM. Scale bar 50 μm.
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Affiliation(s)
- Yao Zheng
- Center for Neuroscience, Department of Neurobiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- State Key Laboratory of Modern Optical Instrumentation, Key Laboratory of Medical Neurobiology of Zhejiang Province, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiajia Chen
- State Key Laboratory of Modern Optical Instrumentation, Key Laboratory of Medical Neurobiology of Zhejiang Province, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xin Shi
- State Key Laboratory of Modern Optical Instrumentation, Key Laboratory of Medical Neurobiology of Zhejiang Province, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xinpei Zhu
- Center for Neuroscience, Department of Neurobiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jiahao Wang
- Center for Neuroscience, Department of Neurobiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Limeng Huang
- Center for Neuroscience, Department of Neurobiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ke Si
- Center for Neuroscience, Department of Neurobiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- State Key Laboratory of Modern Optical Instrumentation, Key Laboratory of Medical Neurobiology of Zhejiang Province, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China
| | - Colin J R Sheppard
- School of Chemistry, University of Wollongong, Wollongong, NSW 2522, Australia
- Nanophysics Department, Istituto Italiano di Tecnologia, via Morego 30, 16163 Genova, Italy
| | - Wei Gong
- Center for Neuroscience, Department of Neurobiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Xue Y, Berry KP, Boivin JR, Wadduwage D, Nedivi E, So PTC. Scattering reduction by structured light illumination in line-scanning temporal focusing microscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:5654-5666. [PMID: 30460153 PMCID: PMC6238912 DOI: 10.1364/boe.9.005654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/26/2018] [Accepted: 10/01/2018] [Indexed: 05/02/2023]
Abstract
Line-scanning temporal focusing microscopy (LineTFM) is capable of imaging biological samples more than 10 times faster than two-photon laser point-scanning microscopy (TPLSM), while achieving nearly the same lateral and axial spatial resolution. However, the image contrast taken by LineTFM is lower than that by TPLSM because LineTFM is severely influenced by biological tissue scattering. To reject the scattered photons, we implemented LineTFM using both structured illumination and uniform illumination combined with the HiLo post-processing algorithm, called HiLL microscopy (HiLo-Line-scanning temporal focusing microscopy). HiLL microscopy significantly reduces tissue scattering and improves image contrast. We demonstrate HiLL microscopy with in vivo brain imaging. This approach could potentially find applications in monitoring fast dynamic events and in mapping high resolution structures over a large volume.
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Affiliation(s)
- Yi Xue
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Laser Biomedical Research Center, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Kalen P. Berry
- Department of Biology, 77 Massachusetts Ave., Cambridge MA 02139,
USA
| | - Josiah R. Boivin
- Picower Institute for Learning and Memory,77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Dushan Wadduwage
- Laser Biomedical Research Center, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Department of Biological Engineering, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Elly Nedivi
- Department of Biology, 77 Massachusetts Ave., Cambridge MA 02139,
USA
- Picower Institute for Learning and Memory,77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Department of Brain and Cognitive Sciences, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Peter T. C. So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Laser Biomedical Research Center, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Department of Biological Engineering, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
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12
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Zhang Y, Kong L, Xie H, Han X, Dai Q. Enhancing axial resolution and background rejection in line-scanning temporal focusing microscopy by focal modulation. OPTICS EXPRESS 2018; 26:21518-21526. [PMID: 30130858 DOI: 10.1364/oe.26.021518] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Compared with two-photon point-scanning microscopy, line-scanning temporal focusing microscopy breaks the limitation on imaging rate and maintains the axial resolution, which makes it promising for various biomedical studies. However, for deep tissue imaging, it suffers from reduced axial resolution and increased background noise due to sample induced wavefront distortion. Here, we propose a spatio-spectral focal modulation technique to enhance axial resolution and background rejection by simply subtracting an aberrated image, which is induced by a spatial light modulator, from an unaberrated image. The proposed technique could improve the axial resolution by a factor of 1.3 in our implementation, verified by both simulations and experiments. Besides, we show that compared with spatial modulation alone, spatio-spectral modulation induces less peak intensity loss caused by image subtraction. We further demonstrate the performance of our technique on the enhanced axial resolution and background rejection by deep imaging of cleared mouse brains and in vivo imaging of living mouse brains.
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