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Comparison of Two- and Three-Beam Interference Pattern Generation in Structured Illumination Microscopy. PHOTONICS 2021. [DOI: 10.3390/photonics8120526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Structured illumination microscopy (SIM) provides wide-field optical sectioning in the focal plane by modulating the imaging information using fringe pattern illumination. For generating the fringe pattern illumination, a digital micro-mirror device (DMD) is commonly used due to its flexibility and fast refresh rate. However, the benefit of different pattern generation, for example, the two-beam interference mode and the three-beam interference mode, has not been clearly investigated. In this study, we systematically analyze the optical sectioning provided by the two-beam inference mode and the three-beam interference mode of DMD. The theoretical analysis and imaging results show that the two-beam interference mode is suitable for fast imaging of the superficial dynamic target due to reduced number of phase shifts needed to form the image, and the three-beam interference mode is ideal for imaging three-dimensional volume due to its superior optical sectioning by the improved modulation of the illumination patterns. These results, we believe, will provide better guidance for the use of DMD for SIM imaging and also for the choice of beam patterns in SIM application in the future.
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Lin W, Zheng Y, Li Z, Jin X, Cao Z, Zeng B, Xu M. In vivo two-dimensional quantitative imaging of skin and cutaneous microcirculation with perturbative spatial frequency domain imaging (p-SFDI). BIOMEDICAL OPTICS EXPRESS 2021; 12:6143-6156. [PMID: 34745727 PMCID: PMC8547977 DOI: 10.1364/boe.428243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/22/2021] [Accepted: 08/26/2021] [Indexed: 06/13/2023]
Abstract
We introduce perturbative spatial frequency domain imaging (p-SFDI) for fast two-dimensional (2D) mapping of the optical properties and physiological characteristics of skin and cutaneous microcirculation using spatially modulated visible light. Compared to the traditional methods for recovering 2D maps through a pixel-by-pixel inversion, p-SFDI significantly shortens parameter retrieval time, largely avoids the random fitting errors caused by measurement noise, and enhances the image reconstruction quality. The efficacy of p-SFDI is demonstrated by in vivo imaging forearm of one healthy subject, recovering the 2D spatial distribution of cutaneous hemoglobin concentration, oxygen saturation, scattering properties, the melanin content, and the epidermal thickness over a large field of view. Furthermore, the temporal and spatial variations in physiological parameters under the forearm reactive hyperemia protocol are revealed, showing its applications in monitoring temporal and spatial dynamics.
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Affiliation(s)
- Weihao Lin
- Institute of Lasers and Biomedical Photonics, Biomedical Engineering College, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Yang Zheng
- The Second People's Hospital of Hefei, Hefei, Anhui, 230011, China
| | - Zhenfang Li
- Institute of Lasers and Biomedical Photonics, Biomedical Engineering College, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Xin Jin
- Institute of Lasers and Biomedical Photonics, Biomedical Engineering College, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Zili Cao
- Institute of Lasers and Biomedical Photonics, Biomedical Engineering College, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Bixin Zeng
- Institute of Lasers and Biomedical Photonics, Biomedical Engineering College, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - M. Xu
- Institute of Lasers and Biomedical Photonics, Biomedical Engineering College, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
- Dept. of Physics and Astronomy, Hunter College and the Graduate, Center of The City University of New York, 695 Park Avenue, New York, NY 10065, USA
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Hinsdale TA, Malik BH, Cheng S, Benavides OR, Giger ML, Wright JM, Patel PB, Jo JA, Maitland KC. Enhanced detection of oral dysplasia by structured illumination fluorescence lifetime imaging microscopy. Sci Rep 2021; 11:4984. [PMID: 33654229 PMCID: PMC7925521 DOI: 10.1038/s41598-021-84552-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 02/17/2021] [Indexed: 12/15/2022] Open
Abstract
We demonstrate that structured illumination microscopy has the potential to enhance fluorescence lifetime imaging microscopy (FLIM) as an early detection method for oral squamous cell carcinoma. FLIM can be used to monitor or detect changes in the fluorescence lifetime of metabolic cofactors (e.g. NADH and FAD) associated with the onset of carcinogenesis. However, out of focus fluorescence often interferes with this lifetime measurement. Structured illumination fluorescence lifetime imaging (SI-FLIM) addresses this by providing depth-resolved lifetime measurements, and applied to oral mucosa, can localize the collected signal to the epithelium. In this study, the hamster model of oral carcinogenesis was used to evaluate SI-FLIM in premalignant and malignant oral mucosa. Cheek pouches were imaged in vivo and correlated to histopathological diagnoses. The potential of NADH fluorescence signal and lifetime, as measured by widefield FLIM and SI-FLIM, to differentiate dysplasia (pre-malignancy) from normal tissue was evaluated. ROC analysis was carried out with the task of discriminating between normal tissue and mild dysplasia, when changes in fluorescence characteristics are localized to the epithelium only. The results demonstrate that SI-FLIM (AUC = 0.83) is a significantly better (p-value = 0.031) marker for mild dysplasia when compared to widefield FLIM (AUC = 0.63).
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Affiliation(s)
- Taylor A Hinsdale
- Department of Biomedical Engineering, Texas A&M University, College Station, USA
- Delft University of Technology, Delft, The Netherlands
| | - Bilal H Malik
- Department of Biomedical Engineering, Texas A&M University, College Station, USA
- QT Imaging, Inc, 3 Hamilton Landing, Suite 160, Novato, CA, 94949, USA
| | - Shuna Cheng
- Department of Biomedical Engineering, Texas A&M University, College Station, USA
| | - Oscar R Benavides
- Department of Biomedical Engineering, Texas A&M University, College Station, USA
| | | | - John M Wright
- Department of Diagnostic Science, Texas A&M College of Dentistry, Dallas, USA
| | - Paras B Patel
- Department of Diagnostic Science, Texas A&M College of Dentistry, Dallas, USA
| | - Javier A Jo
- Department of Biomedical Engineering, Texas A&M University, College Station, USA
- Department of Electrical and Computer Engineering, University of Oklahoma, Norman, USA
| | - Kristen C Maitland
- Department of Biomedical Engineering, Texas A&M University, College Station, USA.
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Aguénounon E, Dadouche F, Uhring W, Ducros N, Gioux S. Single snapshot imaging of optical properties using a single-pixel camera: a simulation study. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-6. [PMID: 31037929 PMCID: PMC6995955 DOI: 10.1117/1.jbo.24.7.071612] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 03/29/2019] [Indexed: 05/29/2023]
Abstract
We present the effects of using a single-pixel camera approach to extract optical properties with the single-snapshot spatial frequency-domain imaging method. We acquired images of a human hand for spatial frequencies ranging from 0.1 to 0.4 mm - 1 with increasing compression ratios using adaptive basis scan wavelet prediction strategy. In summary, our findings indicate that the extracted optical properties remained usable up to 99% of compression rate at a spatial frequency of 0.2 mm - 1 with errors of 5% in reduced scattering and 10% in absorption.
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Affiliation(s)
| | - Foudil Dadouche
- University of Strasbourg, ICube Laboratory, Illkirch, France
| | - Wilfried Uhring
- University of Strasbourg, ICube Laboratory, Illkirch, France
| | - Nicolas Ducros
- University Lyon, INSA Lyon, UCBL, CNRS 5220, INSERM U1206, CREATIS, Villeurbanne, France
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Illkirch, France
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Hoffman ZR, DiMarzio CA. Super-resolution structured illumination in optically thick specimens without fluorescent tagging. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:1-11. [PMID: 29119742 DOI: 10.1117/1.jbo.22.11.116003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 10/23/2017] [Indexed: 06/07/2023]
Abstract
This research extends the work of Hoffman et al. to provide both sectioning and super-resolution using random patterns within thick specimens. Two methods of processing structured illumination in reflectance have been developed without the need for a priori knowledge of either the optical system or the modulation patterns. We explore the use of two deconvolution algorithms that assume either Gaussian or sparse priors. This paper will show that while both methods accomplish their intended objective, the sparse priors method provides superior resolution and contrast against all tested targets, providing anywhere from ∼1.6× to ∼2× resolution enhancement. The methods developed here can reasonably be implemented to work without a priori knowledge about the patterns or point spread function. Further, all experiments are run using an incoherent light source, unknown random modulation patterns, and without the use of fluorescent tagging. These additional modifications are challenging, but the generalization of these methods makes them prime candidates for clinical application, providing super-resolved noninvasive sectioning in vivo.
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Affiliation(s)
- Zachary R Hoffman
- Northeastern University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States
- Charles Stark Draper Laboratory, Cambridge, Massachusetts, United States
| | - Charles A DiMarzio
- Northeastern University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States
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