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Wen K, Gao Z, Liu R, Fang X, Ma Y, Zheng J, An S, Kozacki T, Gao P. Structured illumination phase and fluorescence microscopy for bioimaging. APPLIED OPTICS 2023; 62:4871-4879. [PMID: 37707263 DOI: 10.1364/ao.486718] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/14/2023] [Indexed: 09/15/2023]
Abstract
This study presents a dual-modality microscopic imaging approach that combines quantitative phase microscopy and fluorescence microscopy based on structured illumination (SI) to provide structural and functional information for the same sample. As the first imaging modality, structured illumination digital holographic microscopy (SI-DHM) is implemented along the transmission beam path. SI-DHM acts as a label-free, noninvasive approach and provides high-contrast and quantitative phase images utilizing the refractive index contrast of the inner structures of samples against the background. As the second imaging modality, structured illumination (fluorescence) microscopy (SIM) is constructed along the reflection beam path. SIM utilizes fluorescent labeling and provides super-resolution images for specific functional structures of samples. We first experimentally demonstrated phase imaging of SI-DHM on rice leaves and fluorescence (SIM) imaging on mouse kidney sections. Then, we demonstrated dual-modality imaging of biological samples, using DHM to acquire the overall cell morphology and SIM to obtain specific functional structures. These results prove that the proposed technique is of great importance in biomedical studies, such as providing insight into cell physiology by visualizing and quantifying subcellular structures.
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2
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Song S, Kim J, Moon T, Seong B, Kim W, Yoo CH, Choi JK, Joo C. Polarization-sensitive intensity diffraction tomography. LIGHT, SCIENCE & APPLICATIONS 2023; 12:124. [PMID: 37202421 DOI: 10.1038/s41377-023-01151-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 04/07/2023] [Accepted: 04/10/2023] [Indexed: 05/20/2023]
Abstract
Optical anisotropy, which is an intrinsic property of many materials, originates from the structural arrangement of molecular structures, and to date, various polarization-sensitive imaging (PSI) methods have been developed to investigate the nature of anisotropic materials. In particular, the recently developed tomographic PSI technologies enable the investigation of anisotropic materials through volumetric mappings of the anisotropy distribution of these materials. However, these reported methods mostly operate on a single scattering model, and are thus not suitable for three-dimensional (3D) PSI imaging of multiple scattering samples. Here, we present a novel reference-free 3D polarization-sensitive computational imaging technique-polarization-sensitive intensity diffraction tomography (PS-IDT)-that enables the reconstruction of 3D anisotropy distribution of both weakly and multiple scattering specimens from multiple intensity-only measurements. A 3D anisotropic object is illuminated by circularly polarized plane waves at various illumination angles to encode the isotropic and anisotropic structural information into 2D intensity information. These information are then recorded separately through two orthogonal analyzer states, and a 3D Jones matrix is iteratively reconstructed based on the vectorial multi-slice beam propagation model and gradient descent method. We demonstrate the 3D anisotropy imaging capabilities of PS-IDT by presenting 3D anisotropy maps of various samples, including potato starch granules and tardigrade.
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Affiliation(s)
- Seungri Song
- Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jeongsoo Kim
- Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Taegyun Moon
- Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Baekcheon Seong
- Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Woovin Kim
- Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Chang-Hyuk Yoo
- Small Machines Company, Ltd., Seoul, 04808, Republic of Korea
| | - Jun-Kyu Choi
- Small Machines Company, Ltd., Seoul, 04808, Republic of Korea
| | - Chulmin Joo
- Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
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3
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Han S, Bender N, Cao H. Tailoring 3D Speckle Statistics. PHYSICAL REVIEW LETTERS 2023; 130:093802. [PMID: 36930913 DOI: 10.1103/physrevlett.130.093802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
We experimentally generate three-dimensional speckles with customized intensity statistics. By appropriately modulating the phase front of a laser beam, the far-field speckles can maintain a desired intensity probability density function upon axial propagation: while evolving into different spatial patterns. We also demonstrate how to design speckle patterns that obtain distinct tailored intensity statistics on multiple designated axial planes. The ability to design 3D speckle statistics opens many possibilities: three-dimensional imaging and sensing, optical trapping, and manipulation.
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Affiliation(s)
- SeungYun Han
- Department of Applied Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Nicholas Bender
- School of Applied and Engineering Physics, Cornell University, Ithaca, New York 14850, USA
| | - Hui Cao
- Department of Applied Physics, Yale University, New Haven, Connecticut 06520, USA
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4
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Alonso D, Garcia J, Micó V. Fluholoscopy-Compact and Simple Platform Combining Fluorescence and Holographic Microscopy. BIOSENSORS 2023; 13:253. [PMID: 36832019 PMCID: PMC9954010 DOI: 10.3390/bios13020253] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
The combination of different imaging modalities into single imaging platforms has a strong potential in biomedical sciences as it permits the analysis of complementary properties of the target sample. Here, we report on an extremely simple, cost-effective, and compact microscope platform for achieving simultaneous fluorescence and quantitative phase imaging modes with the capability of working in a single snapshot. It is based on the use of a single illumination wavelength to both excite the sample's fluorescence and provide coherent illumination for phase imaging. After passing the microscope layout, the two imaging paths are separated using a bandpass filter, and the two imaging modes are simultaneously obtained using two digital cameras. We first present calibration and analysis of both fluorescence and phase imaging modalities working independently and, later on, experimental validation for the proposed common-path dual-mode imaging platform considering static (resolution test targets, fluorescent micro-beads, and water-suspended lab-made cultures) as well as dynamic (flowing fluorescent beads, human sperm cells, and live specimens from lab-made cultures) samples.
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Zhang Y, Kang L, Lo CTK, Tsang VTC, Wong TTW. Rapid slide-free and non-destructive histological imaging using wide-field optical-sectioning microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:2782-2796. [PMID: 35774335 PMCID: PMC9203115 DOI: 10.1364/boe.454501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 06/15/2023]
Abstract
Histopathology based on formalin-fixed and paraffin-embedded tissues has long been the gold standard for surgical margin assessment (SMA). However, routine pathological practice is lengthy and laborious, failing to guide surgeons intraoperatively. In this report, we propose a practical and low-cost histological imaging method with wide-field optical-sectioning microscopy (i.e., High-and-Low-frequency (HiLo) microscopy). HiLo can achieve rapid and non-destructive imaging of freshly-excised tissues at an extremely high acquisition speed of 5 cm2/min with a spatial resolution of 1.3 µm (lateral) and 5.8 µm (axial), showing great potential as an SMA tool that can provide immediate feedback to surgeons and pathologists for intraoperative decision-making. We demonstrate that HiLo enables rapid extraction of diagnostic features for different subtypes of human lung adenocarcinoma and hepatocellular carcinoma, producing surface images of rough specimens with large field-of-views and cellular features that are comparable to the clinical standard. Our results show promising clinical translations of HiLo microscopy to improve the current standard of care.
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6
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Xu Z, Xie X, Li R, Yu K, Lish SR, Xu M. Information entropy of quantitative chemometric endogenous fluorescence improves photonic lung cancer diagnosis. APPLIED OPTICS 2022; 61:478-484. [PMID: 35200886 DOI: 10.1364/ao.439458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Abstract
Quantitative chemometric widefield endogenous fluorescence microscopy (CFM) maps the endogenous absolute chromophore concentration and spatial distribution in cells and tissue sections label-free from fluorescence color images under broadband excitation and detection. By quantifying the endogenous chromophores, including tryptophan, elastin, reduced nicotinamide adenine dinucleotide [NAD(P)H], and flavin adenine dinucleotide (FAD), CFM reveals the biochemical environment and subcellular structure. Here we show that the chromophore information entropy, marking its spatial distribution pattern of quantitative chemometric endogenous fluorescence at the microscopic scale, improves photonic lung cancer diagnosis with independent diagnostic power to the cellular metabolism biomarker. NAD(P)H and FAD's information entropy is found to decrease from normal to perilesional to cancerous tissue, whereas the information entropy for the redox ratios [FAD/tryptophan and FAD/NAD(P)H] is smaller for the normal tissue than both perilesional and cancerous tissue. CFM imaging of the specimen's inherent biochemical and structural properties eliminates the dependence on measurement details and facilitates robust, accurate diagnosis. The synergy of quantifying absolute chromophore concentration and information entropy achieves high accuracies for a three-class classification of lung tissue into normal, perilesional, and cancerous ones and a three-class classification of lung cancers into grade 1, grade 2, and grade 3 using a support vector machine, outperforming the chromophore concentration biomarkers.
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7
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Zhang Y, Kang L, Wong IHM, Dai W, Li X, Chan RCK, Hsin MKY, Wong TTW. High-Throughput, Label-Free and Slide-Free Histological Imaging by Computational Microscopy and Unsupervised Learning. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2102358. [PMID: 34747142 PMCID: PMC8805566 DOI: 10.1002/advs.202102358] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 10/03/2021] [Indexed: 06/13/2023]
Abstract
Rapid and high-resolution histological imaging with minimal tissue preparation has long been a challenging and yet captivating medical pursuit. Here, the authors propose a promising and transformative histological imaging method, termed computational high-throughput autofluorescence microscopy by pattern illumination (CHAMP). With the assistance of computational microscopy, CHAMP enables high-throughput and label-free imaging of thick and unprocessed tissues with large surface irregularity at an acquisition speed of 10 mm2 /10 s with 1.1-µm lateral resolution. Moreover, the CHAMP image can be transformed into a virtually stained histological image (Deep-CHAMP) through unsupervised learning within 15 s, where significant cellular features are quantitatively extracted with high accuracy. The versatility of CHAMP is experimentally demonstrated using mouse brain/kidney and human lung tissues prepared with various clinical protocols, which enables a rapid and accurate intraoperative/postoperative pathological examination without tissue processing or staining, demonstrating its great potential as an assistive imaging platform for surgeons and pathologists to provide optimal adjuvant treatment.
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Affiliation(s)
- Yan Zhang
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
| | - Lei Kang
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
| | - Ivy H M Wong
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
| | - Weixing Dai
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
| | - Xiufeng Li
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
| | - Ronald C K Chan
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Michael K Y Hsin
- Department of Cardiothoracic Surgery, Queen Mary Hospital, Kowloon, Hong Kong, China
| | - Terence T W Wong
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
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Liu P. Unified joint reconstruction approach for random illumination microscopy. BIOMEDICAL OPTICS EXPRESS 2020; 11:5147-5165. [PMID: 33014605 PMCID: PMC7510865 DOI: 10.1364/boe.399547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 06/11/2023]
Abstract
Random illumination microscopy (RIM) using uncontrolled speckle patterns has shown the capacity to surpass the Abbe's diffraction barrier, providing the possibility to design inexpensive and versatile structured illumination microscopy (SIM) devices. In this paper, I first present a review of the state-of-the-art joint reconstruction methods in RIM, and then propose a unified joint reconstruction approach in which the performance of various regularization terms can be evaluated under the same model. The model hyperparameter is easily tuned and robust in comparison to the previous methods and ℓ2,1 regularizer is proven to be a reasonable prior in most practical situations. Moreover, the degradation entailed by out-of-focus light in conventional SIM can be easily solved in RIM setup.
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Affiliation(s)
- Penghuan Liu
- College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China
- Laboratoire des Sciences du Numérique de Nantes, École Centrale de Nantes, 44321 Nantes, France
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Kumar M, Quan X, Awatsuji Y, Tamada Y, Matoba O. Digital Holographic Multimodal Cross-Sectional Fluorescence and Quantitative Phase Imaging System. Sci Rep 2020; 10:7580. [PMID: 32415184 PMCID: PMC7228964 DOI: 10.1038/s41598-020-64028-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 04/03/2020] [Indexed: 12/29/2022] Open
Abstract
We present a multimodal imaging system based on simple off-axis digital holography, for simultaneous recording and retrieval of cross-sectional fluorescence and quantitative phase imaging of the biological specimen. Synergism in the imaging capabilities can be achieved by incorporating two off-axis digital holographic microscopes integrated to record different information at the same time. The cross-sectional fluorescence imaging is realized by a common-path configuration of the single-shot off-axis incoherent digital holographic system. The quantitative phase imaging, on the other hand, is achieved by another off-axis coherent digital holographic microscopy operating in transmission mode. The fundamental characteristics of the proposed multimodal system are confirmed by performing various experiments on fluorescent beads and fluorescent protein-labeled living cells of the moss Physcomitrella patens lying at different axial depth positions. Furthermore, the cross-sectional live fluorescence and phase imaging of the fluorescent beads are demonstrated by the proposed multimodal system. The experimental results presented here corroborate the feasibility of the proposed system and indicate its potential in the applications to analyze the functional and structural behavior of biological cells and tissues.
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Affiliation(s)
- Manoj Kumar
- Graduate School of System Informatics, Kobe University, Rokkodai 1-1, Nada, Kobe, 657-8501, Japan.
| | - Xiangyu Quan
- Graduate School of System Informatics, Kobe University, Rokkodai 1-1, Nada, Kobe, 657-8501, Japan
| | - Yasuhiro Awatsuji
- Faculty of Electrical Engineering and Electronics, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto, 606-8585, Japan
| | - Yosuke Tamada
- School of Engineering, Utsunomiya University, 7-1-2 Yoto, Utsunomiya, 321-8585, Japan
- National Institute for Basic Biology, 38 Nishigonaka, Myodaiji, Okazaki, 444-8585, Japan
- School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), 38 Nishigonaka, Myodaiji, Okazaki, 444-8585, Japan
- Center for Optical Research and Education (CORE), Utsunomiya University, 7-1-2 Yoto, Utsunomiya, 321-8585, Japan
| | - Osamu Matoba
- Graduate School of System Informatics, Kobe University, Rokkodai 1-1, Nada, Kobe, 657-8501, Japan.
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Zhang H, Wang W, Liu C, Liu J. Pixel super-resolved lens-free on-chip microscopy based on dual laterally shifting modulation. APPLIED OPTICS 2020; 59:3411-3416. [PMID: 32400453 DOI: 10.1364/ao.387428] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/11/2020] [Indexed: 06/11/2023]
Abstract
Achieving high spatial resolution over a wide field of view (FOV) is the goal of many imaging systems. In a traditional lens-based microscope, designing a complex objective with high numerical aperture (NA) to achieve this goal is a tough and challenging task. The lens-free wide-field imaging method based on phase retrieval provides a new way to bypass the trade-off between the spatial resolution and FOV of conventional microscopy. However, the typical lens-free microscopy usually requires mechanical devices with high precision and repeatability. In this paper, we report a robust and cost-effective pixel super-resolved lens-free imaging method based on dual laterally shifting modulation. A thin diffuser is inserted between the object and the image sensor to be used as the modulator. The diffuser and the object are transversely scanned at the same time to add diversities for phase retrieval and pixel super-resolution, respectively. In this way, the positional shifts of the diffuser and the object can be directly recovered with the registration algorithm, thus addressing the low stability and inaccuracy issues of translation stages. We also propose a pixel super-resolution phase-retrieval algorithm to recover the object and the unknown diffuser. We first use numerical simulations to evaluate the proposed scheme. Then, we validate this approach by imaging a resolution target and a pollen sample, thus achieving an FOV of ${\sim}{30}\;{\text{mm}^2}$∼30mm2 and a half-pitch resolution of 0.78 µm, which surpasses 2.14 times the theoretical Nyquist-Shannon sampling resolution limit. Finally, the 3D refocusing ability is also verified by imaging a thick mosquito sample.
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Kner P, Manley S, Shechtman Y, Stallinga S. 25 th Anniversary of STED Microscopy and the 20 th Anniversary of SIM: feature introduction. BIOMEDICAL OPTICS EXPRESS 2020; 11:1707-1711. [PMID: 32206437 PMCID: PMC7075616 DOI: 10.1364/boe.391490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Indexed: 06/10/2023]
Abstract
This feature issue commemorating 25 years of STED microscopy and 20 years of SIM is intended to highlight the incredible progress and growth in the field of superresolution microscopy since Stefan Hell and Jan Wichmann published the article Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy in Optics Letters in 1994.
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Affiliation(s)
- Peter Kner
- School of Electrical and Computer Engineering, University of Georgia, Athens, GA 30602, USA
| | - Suliana Manley
- Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Yoav Shechtman
- Biomedical Engineering Department, Technion, 32000 Haifa, Israel
| | - Sjoerd Stallinga
- Quantitative Imaging Group, Delft University of Technology, Delft, Netherlands
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