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Journal articles on the topic 'Super resolution spectroscopy'

Author: Grafiati

Published: 10 March 2023

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1

Harris, T. D., R. D. Grober, J. K. Trautman, and E. Betzig. "Super-Resolution Imaging Spectroscopy." Applied Spectroscopy 48, no. 1 (January 1994): 14A—21A. http://dx.doi.org/10.1366/0003702944027589.

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2

Tomita, Motohiro, Hiroki Hashiguchi, Takuya Yamaguchi, Munehisa Takei, Daisuke Kosemura, and Atsushi Ogura. "Super-Resolution Raman Spectroscopy by Digital Image Processing." Journal of Spectroscopy 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/459032.

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We demonstrate the results of a strain (stress) evaluation obtained from Raman spectroscopy measurements with the super-resolution method (the so-called super-resolution Raman spectroscopy) for a Si substrate with a patterned SiN film (serving as a strained Si sample). To improve the spatial resolution of Raman spectroscopy, we used the super-resolution method and a high-numerical-aperture immersion lens. Additionally, we estimated the spatial resolution by an edge force model (EFM) calculation. One- and two-dimensional stress distributions in the Si substrate with the patterned SiN film were obtained by super-resolution Raman spectroscopy. The results from both super-resolution Raman spectroscopy and the EFM calculation were compared and were found to correlate well. The best spatial resolution, 70 nm, was achieved by super-resolution Raman measurements with an oil immersion lens. We conclude that super-resolution Raman spectroscopy is a useful method for evaluating stress in miniaturized state-of-the-art transistors, and we believe that the super-resolution method will soon be a requisite technique.

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3

Candela, Alberto, David R. Thompson, David Wettergreen, Kerry Cawse-Nicholson, Sven Geier, Michael L. Eastwood, and Robert O. Green. "Probabilistic Super Resolution for Mineral Spectroscopy." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (April 3, 2020): 13241–47. http://dx.doi.org/10.1609/aaai.v34i08.7030.

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Earth and planetary sciences often rely upon the detailed examination of spectroscopic data for rock and mineral identification. This typically requires the collection of high resolution spectroscopic measurements. However, they tend to be scarce, as compared to low resolution remote spectra. This work addresses the problem of inferring high-resolution mineral spectroscopic measurements from low resolution observations using probability models. We present the Deep Gaussian Conditional Model, a neural network that performs probabilistic super resolution via maximum likelihood estimation. It also provides insight into learned correlations between measurements and spectroscopic features, allowing for the tractability and interpretability that scientists often require for mineral identification. Experiments using remote spectroscopic data demonstrate that our method compares favorably to other analogous probabilistic methods. Finally, we show and discuss how our method provides human-interpretable results, making it a compelling analysis tool for scientists.

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4

Buckin, Vitaly, and Evegny Kudryashov. "Super sonic: High-resolution ultrasonic spectroscopy." Biochemist 24, no. 4 (August 1, 2002): 25–27. http://dx.doi.org/10.1042/bio02404025.

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High-resolution ultrasonic spectrometry is a novel analytical technique with enormous potential for the investigation of a wide range of samples and dynamic processes. The non-destructive technique is based on measuring the changes that take place to ultrasonic waves as they pass through materials.

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5

Graefe, Christian T., David Punihaole, Celina M. Harris, Michael J. Lynch, Ryan Leighton, and Renee R. Frontiera. "Far-Field Super-Resolution Vibrational Spectroscopy." Analytical Chemistry 91, no. 14 (June 28, 2019): 8723–31. http://dx.doi.org/10.1021/acs.analchem.9b01731.

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6

Lim, Alane. "Machine learning method puts the “super” in super-resolution spectroscopy." Scilight 2021, no. 49 (December 3, 2021): 491108. http://dx.doi.org/10.1063/10.0009031.

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7

DeLisle, Charles F., H. Bhagya Mendis, and Justin L. Lorieau. "Super resolution NOESY spectra of proteins." Journal of Biomolecular NMR 73, no. 3-4 (April 2019): 105–16. http://dx.doi.org/10.1007/s10858-019-00231-x.

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8

Matsuo, T., and H. Matsuda. "A super-high-resolution tandem mass spectrometer." International Journal of Mass Spectrometry and Ion Processes 91, no. 1 (June 1989): 27–40. http://dx.doi.org/10.1016/0168-1176(89)80107-7.

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9

Winterauer, Dominik J., Daniel Funes-Hernando, Jean-Luc Duvail, Saïd Moussaoui, Tim Batten, and Bernard Humbert. "Sub-Micron Spatial Resolution in Far-Field Raman Imaging Using Positivity-Constrained Super-Resolution." Applied Spectroscopy 73, no. 8 (March 27, 2019): 902–9. http://dx.doi.org/10.1177/0003702819832355.

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Raman microscopy is a valuable tool for detecting physical and chemical properties of a sample material. When probing nanomaterials or nanocomposites the spatial resolution of Raman microscopy is not always adequate as it is limited by the optical diffraction limit. Numerical post-processing with super-resolution algorithms provides a means to enhance resolution and can be straightforwardly applied. The aim of this work is to present interior point least squares (IPLS) as a powerful tool for super-resolution in Raman imaging through constrained optimization. IPLS’s potential for super-resolution is illustrated on numerically generated test images. Its resolving power is demonstrated on Raman spectroscopic data of a polymer nanowire sample. Comparison to atomic force microscopy data of the same sample substantiates that the presented method is a promising technique for analyzing nanomaterial samples.

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10

Jeong, Dokyung, and Doory Kim. "Super‐resolution fluorescence microscopy‐based single‐molecule spectroscopy." Bulletin of the Korean Chemical Society 43, no. 3 (January 3, 2022): 316–27. http://dx.doi.org/10.1002/bkcs.12471.

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11

Boschetti, Alice, Andrea Taschin, Paolo Bartolini, Anjani Kumar Tiwari, Lorenzo Pattelli, Renato Torre, and Diederik S. Wiersma. "Spectral super-resolution spectroscopy using a random laser." Nature Photonics 14, no. 3 (December 2, 2019): 177–82. http://dx.doi.org/10.1038/s41566-019-0558-4.

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12

Winterauer, Dominik J., Daniel Funes-Hernando, Jean-Luc Duvail, Saïd Moussaoui, Tim Batten, and Bernard Humbert. "Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution." Applied Spectroscopy 74, no. 7 (May 26, 2020): 780–90. http://dx.doi.org/10.1177/0003702820920688.

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This work introduces hyper-resolution (HyRes), a numerical approach for spatial resolution enhancement that combines hyperspectral unmixing and super-resolution image restoration (SRIR). HyRes yields a substantial increase in spatial resolution of Raman spectroscopy while simultaneously preserving the undistorted spectral information. The resolving power of this technique is demonstrated on Raman spectroscopic data from a polymer nanowire sample. Here, we demonstrate an achieved resolution of better than 14 nm, a more than eightfold improvement on single-channel image-based SRIR and [Formula: see text] better than regular far-field Raman spectroscopy, and comparable to near-field probing techniques.

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Thompson, Shelby, Mychele Jorns, and Dimitri Pappas. "Synthesis and Characterization of Dye-Doped Au@SiO₂ Core-Shell Nanoparticles for Super-Resolution Fluorescence Microscopy." Applied Spectroscopy 76, no. 11 (October 24, 2022): 1367–74. http://dx.doi.org/10.1177/00037028221121357.

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Dye-doped nanoparticles have been investigated as bright, fluorescent probes for localization-based super-resolution microscopy. Nanoparticle size is important in super-resolution microscopy to get an accurate size of the object of interest from image analysis. Due to their self-blinking behavior and metal-enhanced fluorescence (MEF), Ag@SiO2 and Au@Ag@SiO2 nanoparticles have shown promise as probes for localization-based super-resolution microscopy. Here, several noble metal-based dye-doped core-shell nanoparticles have been investigated as self-blinking nanomaterial probes. It was observed that both the gold- and silver-plated nanoparticle cores exhibit weak luminescence under certain conditions due to the surface plasmon resonance bands produced by each metal, and the gold cores exhibit blinking behavior which enhances the blinking and fluorescence of the dye-doped nanoparticle. However, the silver-plated nanoparticle cores, while weakly luminescent, did not exhibit any blinking; the dye-doped nanoparticle exhibited the same behavior as the core fluorescent, but did not blink. Because of the blinking behavior, stochastic optical reconstruction microscopy (STORM) super-resolution analysis was able to be performed with performed on the gold core nanoparticles. A preliminary study on the use of these nanoparticles for localization-based super-resolution showed that these nanoparticles are suitable for use in STORM super resolution. Resolution enhancement was two times better than the diffraction limited images, with core sizes reduced to 15 nm using the hybrid Au–Ag cores.

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14

Pavlovetc, Ilia M., Kyle Aleshire, Gregory V. Hartland, and Masaru Kuno. "Approaches to mid-infrared, super-resolution imaging and spectroscopy." Physical Chemistry Chemical Physics 22, no. 8 (2020): 4313–25. http://dx.doi.org/10.1039/c9cp05815j.

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15

Liu, Biao, Rongping Tan, Baogao Tan, Chenhui Huang, and Keqin Yang. "Super-Resolution Reconstruction Algorithm-Based MRI Diagnosis of Prostate Cancer and Evaluation of Treatment Effect of Prostate Specific Antigen." Concepts in Magnetic Resonance Part A 2022 (October 15, 2022): 1–7. http://dx.doi.org/10.1155/2022/5447347.

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MRI of prostate cancer (PCa) was performed using a projection onto convex sets (POCS) super-resolution reconstruction algorithm to evaluate and analyze the treatment of prostate-specific antigen (PSA) and provide a theoretical reference for clinical practice. A total of 110 patients with PCa were selected as the study subjects. First, the modified POCS algorithm was used to reconstruct the MRI images, and the gradient interpolation algorithm was used instead of the traditional bilinear algorithm to preserve the edge information. The diagnostic and therapeutic effects of MRI examination, PSA examination, and MRI combined with PSA based on a super-resolution reconstruction algorithm were then compared. The simulation results showed that the POCS algorithm was superior to the bilinear interpolation results and was superior to the common POCS algorithm. After adding noise artificially, the restoration algorithm was effective and could preserve the details in the image. The performance indexes of PSA in the diagnosis of PCa were 75.4%, 60.1%, 70.08%, 72.2%, and 60.3%, respectively; the performance indexes of MRI in the diagnosis of PCa were 84.6%, 61.4%, 71.11%, 73.08%, and 61.9%, respectively; and the performance indexes of MRI combined with PSA based on the super-resolution reconstruction algorithm in the diagnosis of PCa were 96.05%, 88.3%, 95.1%, 93.6%, and 92.7%, respectively. The indicators of MRI combined with PSA based on the super-resolution reconstruction algorithm were significantly higher than those of the other two methods ( P < 0.05). The signal-to-noise ratio of MRI of PCa based on the super-resolution reconstruction algorithm has been greatly improved, with good clarity, which can improve the diagnostic accuracy of PCa patients and has certain advantages in the examination. MRI based on the super-resolution reconstruction algorithm has a high value in the diagnosis and treatment of PCa.

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16

Jia, Haina, Te-Wei Tsai, and Shoujun Xu. "Probing drug-DNA interactions using super-resolution force spectroscopy." Applied Physics Letters 113, no. 19 (November 5, 2018): 193702. http://dx.doi.org/10.1063/1.5045787.

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17

Park, Sang Mok, Michelle A. Visbal-Onufrak, Md Munirul Haque, Martin C. Were, Violet Naanyu, Md Kamrul Hasan, and Young L. Kim. "mHealth spectroscopy of blood hemoglobin with spectral super-resolution." Optica 7, no. 6 (May 21, 2020): 563. http://dx.doi.org/10.1364/optica.390409.

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18

Yang, Zhu, Wang, Yang, Wu, and Li. "Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology." Sensors 19, no. 19 (September 20, 2019): 4076. http://dx.doi.org/10.3390/s19194076.

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Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ratio. The novel method of using deep neural network performs a super-resolution reconstruction operation on the gray image. An adaptive guided filter that automatically adjusts the filter radius and penalty factor is proposed to highlight the contour of the cell, and the super-resolution reconstruction of the pseudo-color image of the Raman spectrum is realized. The average signal-to-noise ratio of the reconstructed pseudo-color image sub-band reaches 14.29 db, and the average value of information entropy reaches 4.30 db. The results show that the Raman-based cell pseudo-color image super-resolution reconstruction algorithm is an effective tool to effectively remove noise and high-resolution visualization. The contrast experiments show that the pseudo-color image Kullback–Leiber (KL) entropy of the color image obtained by the method is small, the boundary is obvious, and the noise is small, which provide technical support for the development of sophisticated single-cell imaging Raman spectroscopy instruments.

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19

Obeng, Eugene M., Elvina C. Dullah, Michael K. Danquah, Cahyo Budiman, and Clarence M. Ongkudon. "FRET spectroscopy—towards effective biomolecular probing." Analytical Methods 8, no. 27 (2016): 5323–37. http://dx.doi.org/10.1039/c6ay00950f.

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20

Enderlein, Joerg. "From Single-Molecule Spectroscopy to Super-Resolution Microscopy: Super-Resolution Optical Fluctuation Imaging and Metal-Induced Energy Transfer." Biophysical Journal 110, no. 3 (February 2016): 6a. http://dx.doi.org/10.1016/j.bpj.2015.11.079.

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21

Offroy, Marc, Yves Roggo, Peyman Milanfar, and Ludovic Duponchel. "Infrared chemical imaging: Spatial resolution evaluation and super-resolution concept." Analytica Chimica Acta 674, no. 2 (August 2010): 220–26. http://dx.doi.org/10.1016/j.aca.2010.06.025.

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22

Minami, Kei-Ichiroh, Hiroaki Okayama, and Satoshi Kawata. "Super-Dynamic-Range and Super-Quantization Methods for FT-IR Spectra." Applied Spectroscopy 47, no. 4 (April 1993): 441–45. http://dx.doi.org/10.1366/0003702934334903.

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Numerical methods are proposed for expanding the dynamic range and increasing the quantization resolution of Fourier transform infrared spectrum data. In these methods, an interferogram is oversampled at a rate higher than the Nyquist sampling rate. From the oversampled interferogram data, the full-range interferogram or the lost quantization bits are recovered by using the Gerchberg-Papoulis iterative algorithm, incorporating constraints on the amplitude range of the interferogram and on the band limitation and non-negativity of the spectrum. Experimental results for IR absorption spectra of cyclohexene are shown in order to demonstrate the capabilities of the methods.

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23

KOUWENBERG, J. J. M., G. J. KREMERS, J. A. SLOTMAN, H. T. WOLTERBEEK, A. B. HOUTSMULLER, A. G. DENKOVA, and A. J. J. BOS. "Alpha particle spectroscopy using FNTD and SIM super-resolution microscopy." Journal of Microscopy 270, no. 3 (February 2, 2018): 326–34. http://dx.doi.org/10.1111/jmi.12686.

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24

Li, Shucheng, Lirong Qiu, Yun Wang, Han Cui, and Weiqian Zhao. "Super-resolution radially polarized pupil-filtering confocal Raman spectroscopy technology." Measurement Science and Technology 31, no. 3 (December 30, 2019): 035903. http://dx.doi.org/10.1088/1361-6501/ab599f.

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25

Boschetti, A., L. Pattelli, R. Torre, and D. S. Wiersma. "Perspectives and recent advances in super-resolution spectroscopy: Stochastic and disordered-based approaches." Applied Physics Letters 120, no. 25 (June 20, 2022): 250502. http://dx.doi.org/10.1063/5.0096519.

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Spectroscopic applications are characterized by the constant effort to combine high spectral resolution with large bandwidth. A trade-off typically exists between these two aspects, but the recent development of super-resolved spectroscopy techniques is bringing new opportunities into this field. This is particularly relevant for all applications where compact and cost-effective instruments are needed such as in sensing, quality control, environmental monitoring, or biometric authentication, to name a few. These unconventional approaches exploit several strategies for spectral investigation, taking advantage of concepts such as sparse sampling, artificial intelligence, or post-processing reconstruction algorithms. In this Perspective, we discuss the main strengths and weaknesses of these methods, tracing promising future directions for their further development and widespread adoption.

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26

Eliet, Sophie, Arnaud Cuisset, Francis Hindle, Jean-Francois Lampin, and Romain Peretti. "Broadband Super-Resolution Terahertz Time-Domain Spectroscopy Applied to Gas Analysis." IEEE Transactions on Terahertz Science and Technology 12, no. 1 (January 2022): 75–80. http://dx.doi.org/10.1109/tthz.2021.3120029.

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27

Zhang, Zhengyang, Samuel J. Kenny, Margaret Hauser, Wan Li, and Ke Xu. "Ultrahigh-throughput single-molecule spectroscopy and spectrally resolved super-resolution microscopy." Nature Methods 12, no. 10 (August 17, 2015): 935–38. http://dx.doi.org/10.1038/nmeth.3528.

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28

Khorasaninejad, M., W. T. Chen, J. Oh, and F. Capasso. "Super-Dispersive Off-Axis Meta-Lenses for Compact High Resolution Spectroscopy." Nano Letters 16, no. 6 (May 3, 2016): 3732–37. http://dx.doi.org/10.1021/acs.nanolett.6b01097.

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Jia, Haina, Yuhong Wang, and Shoujun Xu. "Super-resolution force spectroscopy reveals ribosomal motion at sub-nucleotide steps." Chemical Communications 54, no. 46 (2018): 5883–86. http://dx.doi.org/10.1039/c8cc02658k.

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Shi, Songyue, Xiaoxia Gong, Yan Mu, Kevin Finch, and Gerardo Gamez. "Geometric super-resolution on push-broom hyperspectral imaging for plasma optical emission spectroscopy." Journal of Analytical Atomic Spectrometry 33, no. 10 (2018): 1745–52. http://dx.doi.org/10.1039/c8ja00235e.

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31

Lewis, Aaron, Dmitry Lev, Daniel Sebag, Patricia Hamra, Hadas Levy, Yirmi Bernstein, Aaron Brahami, Nataly Tal, Omri Goldstein, and Talia Yeshua. "The optical near-field: super-resolution imaging with structural and phase correlation." Nanophotonics 3, no. 1-2 (April 1, 2014): 3–18. http://dx.doi.org/10.1515/nanoph-2014-0007.

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AbstractAn overview of near-field optics is presented with a focus on the fundamental advances that have been made in the field since its inception 30 years ago. A focus is placed on the advancements that have been achieved in instrumentation. These advances have led to a greater generality of use with ultra-low mechanical and optical noise and the ultimate in force sensitivity with near-field optical probes. An emphasis is placed on the importance of fully integrating near-field optics with other imaging and spectroscopic modalities including Raman spectroscopy and electron/ion beam imaging. Important directions in probe design, force feedback methods and scanner flexibility are described. These developing avenues provide considerable optimism for an ever increasing incorporation of near-field optics to help resolve critical problems in fundamental and applied science.

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32

Duponchel, Ludovic, Peyman Milanfar, Cyril Ruckebusch, and Jean-Pierre Huvenne. "Super-resolution and Raman chemical imaging: From multiple low resolution images to a high resolution image." Analytica Chimica Acta 607, no. 2 (January 2008): 168–75. http://dx.doi.org/10.1016/j.aca.2007.12.004.

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33

Chatterjee, Krishnendu, Feby Wijaya Pratiwi, Frances Camille M. Wu, Peilin Chen, and Bi-Chang Chen. "Recent Progress in Light Sheet Microscopy for Biological Applications." Applied Spectroscopy 72, no. 8 (June 21, 2018): 1137–69. http://dx.doi.org/10.1177/0003702818778851.

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The introduction of light sheet fluorescence microscopy (LSFM) has overcome the challenges in conventional optical microscopy. Among the recent breakthroughs in fluorescence microscopy, LSFM had been proven to provide a high three-dimensional spatial resolution, high signal-to-noise ratio, fast imaging acquisition rate, and minuscule levels of phototoxic and photodamage effects. The aforementioned auspicious properties are crucial in the biomedical and clinical research fields, covering a broad range of applications: from the super-resolution imaging of intracellular dynamics in a single cell to the high spatiotemporal resolution imaging of developmental dynamics in an entirely large organism. In this review, we provided a systematic outline of the historical development of LSFM, detailed discussion on the variants and improvements of LSFM, and delineation on the most recent technological advancements of LSFM and its potential applications in single molecule/particle detection, single-molecule super-resolution imaging, imaging intracellular dynamics of a single cell, multicellular imaging: cell–cell and cell–matrix interactions, plant developmental biology, and brain imaging and developmental biology.

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Yoshida, Shawn, and Lydia Kisley. "Super-resolution fluorescence imaging of extracellular environments." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 257 (August 2021): 119767. http://dx.doi.org/10.1016/j.saa.2021.119767.

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35

Eggeling, Christian. "Super-resolution optical microscopy of lipid plasma membrane dynamics." Essays in Biochemistry 57 (February 6, 2015): 69–80. http://dx.doi.org/10.1042/bse0570069.

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Plasma membrane dynamics are an important ruler of cellular activity, particularly through the interaction and diffusion dynamics of membrane-embedded proteins and lipids. FCS (fluorescence correlation spectroscopy) on an optical (confocal) microscope is a popular tool for investigating such dynamics. Unfortunately, its full applicability is constrained by the limited spatial resolution of a conventional optical microscope. The present chapter depicts the combination of optical super-resolution STED (stimulated emission depletion) microscopy with FCS, and why it is an important tool for investigating molecular membrane dynamics in living cells. Compared with conventional FCS, the STED-FCS approach demonstrates an improved possibility to distinguish free from anomalous molecular diffusion, and thus to give new insights into lipid–protein interactions and the traditional lipid ‘raft’ theory.

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Schrum, Kimberley F., Seung Hyeon Ko, and Dor Ben-Amotz. "Description and Theory of a Fiber-Optic Confocal and Super-Focal Raman Microspectrometer." Applied Spectroscopy 50, no. 9 (September 1996): 1150–55. http://dx.doi.org/10.1366/0003702963905187.

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A fiber-optic bundle, placed in the imaging plane of a microspectrometer, functions as a variable-size pinhole. This arrangement allows for conventional confocal measurements to be made by collecting the signal from the central fiber. On the other hand, measurements arising from a larger focal volume are made by integrating the signal from the entire bundle. This new “super-focal” imaging technique yields larger imaging depth without any loss in spectral resolution. The instrument design and performance are described, as well as geometric optics calculations which accurately predict the depth resolution and oscillations in the super-focal depth response. Raman scattering from a three-component layered sample is used to illustrate the extension of this technique to more complicated systems.

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Mankar, Rupali, Chalapathi Charan Gajjela, Farideh Foroozandeh Shahraki, Saurabh Prasad, David Mayerich, and Rohith Reddy. "Multi-modal image sharpening in fourier transform infrared (FTIR) microscopy." Analyst 146, no. 15 (2021): 4822–34. http://dx.doi.org/10.1039/d1an00103e.

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Multi-modal fusion improves spatial resolution of FTIR images beyond diffraction-limit that improves classification of histology classes. Enhanced spatial details are comparable to O-PTIR which is a super-resolution spectroscopic imaging technology.

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Jovanovic-Talisman, Tijana, and Vladana Vukojevic. "Super-resolution fluorescence imaging and correlation spectroscopy: Principles and examples of application." Journal of the Serbian Chemical Society 78, no. 11 (2013): 1671–88. http://dx.doi.org/10.2298/jsc130815102j.

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Self-organization of cell-surface receptors in structurally distinct domains in the plasma membrane is of vital interest for correct cellular signaling. However, this dynamic process is difficult to study in cells with sufficiently high temporal and spatial resolution. We present here two quantitative high-resolution methods with single-molecule sensitivity, Fluorescence Correlation Spectroscopy (FCS) and pair-correlation Photoactivated Localization Microscopy (pcPALM), which enable nondestructive study of receptor diffusion and lateral organization at the nanoscale level. We introduce here the methods and review their application in studies of lateral organization of G Protein-Coupled Receptors (GPCRs). Examples from our own work on opioid receptor lateral organization are presented in order to illustrate the most recent advances in the field.

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Kuwahara, Masashi, Takayuki Shima, Paul Fons, and Junji Tominaga. "In-situRaman Scattering Spectroscopy for a Super Resolution Optical Disk during Readout." Applied Physics Express 2 (August 7, 2009): 082402. http://dx.doi.org/10.1143/apex.2.082402.

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40

Di Russo, Enrico, Pradip Dalapati, Jonathan Houard, Linda Venturi, Ivan Blum, Simona Moldovan, Nolwenn Le Biavan, et al. "Super-resolution Optical Spectroscopy of Nanoscale Emitters within a Photonic Atom Probe." Nano Letters 20, no. 12 (November 25, 2020): 8733–38. http://dx.doi.org/10.1021/acs.nanolett.0c03584.

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41

Bokor, Nándor, Keiichi Inoue, Satoshi Kogure, Masaaki Fujii, and Makoto Sakai. "Visible-super-resolution infrared microscopy using saturated transient fluorescence detected infrared spectroscopy." Optics Communications 283, no. 3 (February 2010): 509–14. http://dx.doi.org/10.1016/j.optcom.2009.10.032.

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42

Bokor, Nandor, and Yoshinori Iketaki. "New Design Method for a Phase Plate in Super-Resolution Fluorescence Microscopy." Applied Spectroscopy 68, no. 3 (March 2014): 353–61. http://dx.doi.org/10.1366/13-07249.

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43

Borsch, M., C. P. Schmid, L. Weigl, S. Schlauderer, N. Hofmann, C. Lange, J. T. Steiner, S. W. Koch, R. Huber, and M. Kira. "Super-resolution lightwave tomography of electronic bands in quantum materials." Science 370, no. 6521 (December 3, 2020): 1204–7. http://dx.doi.org/10.1126/science.abe2112.

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Searching for quantum functionalities requires access to the electronic structure, constituting the foundation of exquisite spin-valley–electronic, topological, and many-body effects. All-optical band-structure reconstruction could directly connect electronic structure with the coveted quantum phenomena if strong lightwaves transported localized electrons within preselected bands. Here, we demonstrate that harmonic sideband (HSB) generation in monolayer tungsten diselenide creates distinct electronic interference combs in momentum space. Locating these momentum combs in spectroscopy enables super-resolution tomography of key band-structure details in situ. We experimentally tuned the optical-driver frequency by a full octave and show that the predicted super-resolution manifests in a critical intensity and frequency dependence of HSBs. Our concept offers a practical, all-optical, fully three-dimensional tomography of electronic structure even in microscopically small quantum materials, band by band.

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44

Turner, J. L., and S. C. Beck. "An Introverted Starburst: Gas and SSC Formation in NGC 5253." Symposium - International Astronomical Union 217 (2004): 208–9. http://dx.doi.org/10.1017/s0074180900197517.

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High resolution Brackett line spectroscopy with the Keck Telescope reveals relatively narrow recombination lines toward the embedded young super star cluster nebula in NGC 5253. The gas within this nebula is almost certainly gravitationally bound by the massive and compact young star cluster.

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Fang, Yi-Fan, Yi-Lan Li, Xiao-Ming Li, and Ji-Long Liu. "Super-Resolution Imaging Reveals Dynamic Reticular Cytoophidia." International Journal of Molecular Sciences 23, no. 19 (October 2, 2022): 11698. http://dx.doi.org/10.3390/ijms231911698.

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CTP synthase (CTPS) can form filamentous structures termed cytoophidia in cells in all three domains of life. In order to study the mesoscale structure of cytoophidia, we perform fluorescence recovery after photobleaching (FRAP) and stimulated emission depletion (STED) microscopy in human cells. By using an EGFP dimeric tag as a tool to explore the physical properties of cytoophidia, we find that cytoophidia are dynamic and reticular. The reticular structure of CTPS cytoophidia may provide space for other components, such as IMPDH. In addition, we observe CTPS granules with tentacles.

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Yao, Chunyan, Jianwei Zhang, Guang Wu, and Houxiang Zhang. "Motion Analysis of Live Objects by Super-Resolution Fluorescence Microscopy." Computational and Mathematical Methods in Medicine 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/859398.

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Motion analysis plays an important role in studing activities or behaviors of live objects in medicine, biotechnology, chemistry, physics, spectroscopy, nanotechnology, enzymology, and biological engineering. This paper briefly reviews the developments in this area mostly in the recent three years, especially for cellular analysis in fluorescence microscopy. The topic has received much attention with the increasing demands in biomedical applications. The tasks of motion analysis include detection and tracking of objects, as well as analysis of motion behavior, living activity, events, motion statistics, and so forth. In the last decades, hundreds of papers have been published in this research topic. They cover a wide area, such as investigation of cell, cancer, virus, sperm, microbe, karyogram, and so forth. These contributions are summarized in this review. Developed methods and practical examples are also introduced. The review is useful to people in the related field for easy referral of the state of the art.

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Laine, Romain F., Gabriele S. Kaminski Schierle, Sebastian van de Linde, and Clemens F. Kaminski. "From single-molecule spectroscopy to super-resolution imaging of the neuron: a review." Methods and Applications in Fluorescence 4, no. 2 (June 27, 2016): 022004. http://dx.doi.org/10.1088/2050-6120/4/2/022004.

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Moerner, W. E. (William E. ). "Nobel Lecture: Single-molecule spectroscopy, imaging, and photocontrol: Foundations for super-resolution microscopy." Reviews of Modern Physics 87, no. 4 (October 21, 2015): 1183–212. http://dx.doi.org/10.1103/revmodphys.87.1183.

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Kisley, Lydia, Rachel Brunetti, Lawrence J. Tauzin, Bo Shuang, Xiyu Yi, Alec W. Kirkeminde, Daniel A. Higgins, Shimon Weiss, and Christy F. Landes. "Characterization of Porous Materials by Fluorescence Correlation Spectroscopy Super-resolution Optical Fluctuation Imaging." ACS Nano 9, no. 9 (August 28, 2015): 9158–66. http://dx.doi.org/10.1021/acsnano.5b03430.

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Yan, Rui, Seonah Moon, Samuel J. Kenny, and Ke Xu. "Spectrally Resolved and Functional Super-resolution Microscopy via Ultrahigh-Throughput Single-Molecule Spectroscopy." Accounts of Chemical Research 51, no. 3 (February 14, 2018): 697–705. http://dx.doi.org/10.1021/acs.accounts.7b00545.

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