Article
Chemistry, Multidisciplinary
Vinit Sheth, Xuxin Chen, Evan M. Mettenbrink, Wen Yang, Meredith A. Jones, Ons M'Saad, Abigail G. Thomas, Rylee S. Newport, Emmy Francek, Lin Wang, Alex N. Frickenstein, Nathan D. Donahue, Alyssa Holden, Nathan F. Mjema, Dixy E. Green, Paul L. DeAngelis, Joerg Bewersdorf, Stefan Wilhelm
Summary: Super-resolution microscopy was used to visualize the distribution of nanoparticles inside mammalian cells. By exploiting the light scattering properties of nanoparticles, label-free imaging of intracellular nanoparticles was achieved. This technology can be widely used to study the intracellular fate of nanoparticles and inform the development of safer and more effective nanomedicines.
Article
Biochemical Research Methods
Alon Saguy, Onit Alalouf, Nadav Opatovski, Soohyen Jang, Mike Heilemann, Yoav Shechtman
Summary: Single-molecule localization microscopy (SMLM) has significantly improved spatial resolution in biological imaging, but has limitations in observing dynamics at high temporal resolution. In this study, we introduce DBlink, a deep-learning-based method that reconstructs super spatiotemporal resolution videos from SMLM data. DBlink utilizes a convolutional neural network combined with a bidirectional long short-term memory network to capture long-term dependencies between different frames. Experimental results demonstrate the effectiveness of DBlink in various scenarios, including simulated structures and live-cell dynamic SMLM. This advancement in super-resolution imaging of dynamic processes in living cells is crucial.
Article
Optics
Mohammadreza Amjadian, Seyed Masood Mostafavi, Zahra Kavehvash, Rahim Faez
Summary: The proposed fast three-dimensional structured illumination photoacoustic microscopy system improves lateral resolution and speed without compromising depth-of-field by using sinusoidal fringe illumination. Capturing more spatial frequency components through structured illumination results in improved frequency bandwidth and lateral resolution, as demonstrated by a mathematical model and simulation results showing 5.4 dB improvement in image quality compared to a conventional system.
OPTICAL ENGINEERING
(2021)
Article
Biochemical Research Methods
David J. Schodt, Farzin Farzam, Sheng Liu, Keith A. Lidke
Summary: We introduce the Sequential Super-resolution Microscope (SeqSRM), a dedicated microscope for automated sequential localization microscopy. SeqSRM automates precise stage stabilization and data acquisition of user-selected cells, minimizing user interaction. We demonstrate that nanometer-scale changes in cell morphology can impact the fidelity of multi-target super-resolution reconstructions, but these shifts can be reliably detected and masked out using brightfield images. SeqSRM enables automated multi-target imaging without the need for multiple fluorophores, while accurately reflecting the relative organization of the targets.
BIOMEDICAL OPTICS EXPRESS
(2023)
Review
Biochemistry & Molecular Biology
Charles Bond, Adriana N. Santiago-Ruiz, Qing Tang, Melike Lakadamyali
Summary: Since its initial demonstration in 2000, there have been significant technological advancements in far-field super-resolution light microscopy. These developments have allowed for unprecedented visualization of the inner workings of cells. This review discusses the technical details of common implementations of super-resolution microscopy and highlights recent promising advances in the field.
Review
Chemistry, Multidisciplinary
Alan M. Szalai, Cecilia Zaza, Fernando D. Stefani
Summary: The combination of super-resolution fluorescence microscopy and FRET has provided unique tools for studying biological systems and nanomaterials. The integration of these techniques has advanced super-resolution imaging and allowed for visualization of molecular interaction patterns with higher spatial resolution. Future perspectives include possible integration with next generation super-resolution techniques for true molecular-scale spatial resolution.
Article
Chemistry, Multidisciplinary
Florian Schueder, Juanita Lara-Gutierrez, Daniel Haas, Kai Sandvold Beckwith, Peng Yin, Jan Ellenberg, Ralf Jungmann
Summary: The researchers introduced a new super-resolution microscopy technique called pPAINT, which can sensitively detect the spatial proximity of biomolecules and has broad applications in cellular research.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2021)
Article
Multidisciplinary Sciences
Yicong Wu, Xiaofei Han, Yijun Su, Melissa Glidewell, Jonathan S. Daniels, Jiamin Liu, Titas Sengupta, Ivan Rey-Suarez, Robert Fischer, Akshay Patel, Christian Combs, Junhui Sun, Xufeng Wu, Ryan Christensen, Corey Smith, Lingyu Bao, Yilun Sun, Leighton H. Duncan, Jiji Chen, Yves Pommier, Yun-Bo Shi, Elizabeth Murphy, Sougata Roy, Arpita Upadhyaya, Daniel Colon-Ramos, Patrick La Riviere, Hari Shroff
Summary: Researchers have enhanced the performance of confocal microscopy using four approaches: developing compact line scanners, combining multi-view imaging, adapting techniques from structured illumination microscopy, and utilizing deep learning. They successfully improved imaging resolution, reduced phototoxicity, and demonstrated these advancements on over 20 different samples.
Article
Chemistry, Physical
Uidon Jeong, Dokyung Jeong, Seokran Go, Hyunbum Park, Geun-ho Kim, Namyoon Kim, Jaehwang Jung, Wookrae Kim, Myungjun Lee, Changhoon Choi, Doory Kim
Summary: The recent development of super-resolution fluorescence microscopy has greatly improved the resolution of light microscopy to tens of nanometers. However, applying this technique to semiconductor materials has been challenging due to limitations in conventional surface functionalization methods for labeling. In this study, a novel approach for highly dense material-specific fluorophore labeling on silicon-based materials has been developed and demonstrated for super-resolution microscopy imaging of semiconductor line patterns. This new method shows the ability to selectively and sensitively probe different-sized silicon and silica line patterned arrays, including edge structures, in three dimensions, which cannot be achieved by conventional metrology systems. Furthermore, it has shown high sensitivity in detecting nanoparticle defects, indicating its potential as a semiconductor defect inspection tool.
CHEMISTRY OF MATERIALS
(2023)
Article
Biotechnology & Applied Microbiology
Xuesong Li, Yicong Wu, Yijun Su, Ivan Rey-Suarez, Claudia Matthaeus, Taylor B. B. Updegrove, Zhuang Wei, Lixia Zhang, Hideki Sasaki, Yue Li, Min Guo, John P. P. Giannini, Harshad D. D. Vishwasrao, Jiji Chen, Shih-Jong J. Lee, Lin Shao, Huafeng Liu, Kumaran S. S. Ramamurthi, Justin W. W. Taraska, Arpita Upadhyaya, Patrick La Riviere, Hari Shroff
Summary: Enhanced axial resolution for 3D SIM is achieved with deep learning or four-beam interference. These methods allow for higher spatial frequency content and near-isotropic imaging with resolutions of around 120 nm in both lateral and axial directions. The deep learning method can also be combined with denoising for volumetric imaging. Various cellular samples were imaged to demonstrate the potential of these advancements.
NATURE BIOTECHNOLOGY
(2023)
Article
Optics
Prakash Joshi, Partha Pratim Mondal
Summary: Molecular assembly in cellular environments is crucial for understanding biological mechanisms. Biophysical parameters directly linked to cellular states require a multimodel approach for accurate estimation.
Article
Biology
Jigmi Basumatary, Neptune Baro, Prakash Joshi, Partha Pratim Mondal
Summary: Single-molecule localization microscopy (SMLM) is a powerful technique that improves spatial resolution beyond the diffraction limit and allows for the analysis of biological features at the nanoscale. This study introduces a single molecule-based scanning SMLM (scanSMLM) system that enables rapid volume imaging. By rapidly changing the aperture of an electrically-tunable lens, the system achieves selective imaging of the axial object plane, allowing for volume scanning. The technique is employed to visualize the architecture of actin-filaments, the distribution of Meos-Tom20 molecules on the mitochondrial membrane, and the clustering of Hemagglutinin (HA) protein single molecules for studying Influenza-A disease progression. The system enables 3D visualization of HA distribution, providing unprecedented insights into the disease progression at the single-molecule level.
COMMUNICATIONS BIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Wang Xiao, Tu Shijie, Liu Xin, Zhao Yuehan, Kuang Cuifang, Liu Xu, Hao Xiang
Summary: Super-resolution microscopy techniques are essential for visualizing organelle structures and protein functions in biomedical research. However, improving axial resolution remains a challenge, hindering sub-hundred-nanometer resolution three-dimensional imaging of cellular structures. Various existing three-dimensional imaging techniques based on different principles have their own characteristics.
LASER & OPTOELECTRONICS PROGRESS
(2021)
Review
Cell Biology
Mark Tingey, Steven J. Schnell, Wenlan Yu, Jason Saredy, Samuel Junod, Dhrumil Patel, Abdullah A. Alkurdi, Weidong Yang
Summary: The transient nature of RNA and temporal constraints within cells make it difficult to image RNA, especially endogenous RNA in transfected cells. However, recent advances have provided researchers with the tools to image endogenous RNA at the cellular and single-molecule level.
Article
Chemistry, Multidisciplinary
Zhiwei Ye, Wei Yang, Ying Zheng, Shujing Wang, Xiaodong Zhang, Haibo Yu, Shuangshuang Li, Chunxiong Luo, Xiaojun Peng, Yi Xiao
Summary: In this study, a new membrane probe and microfluidic platform were developed to enable synchronous use of super-resolution imaging and single-molecule tracking. This method allows high-throughput observation and analysis of the ultrastructural and dynamic details of living red blood cell membranes, providing new perspectives for future disease diagnostics.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
