Article
Chemistry, Multidisciplinary
Emmanouil Archontakis, Linlin Deng, Peter Zijlstra, Anja R. A. Palmans, Lorenzo Albertazzi
Summary: Folding a polymer chain into a well-defined single chain polymeric nanoparticle (SCPN) is a fascinating approach to obtaining structured and functional nanoparticles. However, due to the heterogeneous nature of SCPNs, which arise from the polydispersity of their synthesis, there are nanoparticles with different physicochemical properties in a single batch. This poses a great challenge to characterizing SCPNs at a single-particle level. In this study, the NR-sPAINT super-resolution fluorescence technique was implemented to study SCPNs at a single-particle level, allowing the mapping of small-molecule binding rates and polarity on individual SCPNs. The experimental results revealed interparticle differences in binding rates within the same polymer design, as well as a marked polarity shift between different designs. This research sheds light on the importance of hydrophobic pendant groups in determining binding properties and inducing single-particle polarity diversity, and represents a significant step toward designing SCPNs for specific applications.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2022)
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
Multidisciplinary Sciences
Chenxi Qian, Kun Miao, Li-En Lin, Xinhong Chen, Jiajun Du, Lu Wei
Summary: VISTA is a label-free superresolution method combining sample expansion and vibrational imaging, enabling high-resolution interrogation of protein-rich biological structures in cells and tissues, with a resolution down to 78 nm.
NATURE COMMUNICATIONS
(2021)
Review
Chemistry, Physical
Peter D. Dahlberg, W. E. Moerner
Summary: srCryoCLEM is an emerging method that combines the advantages of super-resolution fluorescence microscopy and cryogenic electron tomography, providing higher resolution and more informative data. The method is still in its infancy with many technical challenges to be overcome.
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, VOL 72
(2021)
Review
Optics
Mingwei Tang, Yubing Han, Danchen Jia, Qing Yang, Ji-Xin Cheng
Summary: Far-field chemical microscopy, with molecular electronic or vibrational fingerprint information, offers a new perspective for studying three-dimensional biological, material, and chemical systems. Despite the limitation of optics, recent advances in super-resolution techniques have overcome this hurdle, pushing the boundaries of far-field chemical microscopy in terms of spatial resolution. This technique finds applications in various fields including biomedical research, material characterization, environmental study, cultural heritage conservation, and integrated chip inspection.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Biochemical Research Methods
Linjing Fang, Fred Monroe, Sammy Weiser Novak, Lyndsey Kirk, Cara R. Schiavon, Seungyoon B. Yu, Tong Zhang, Melissa Wu, Kyle Kastner, Alaa Abdel Latif, Zijun Lin, Andrew Shaw, Yoshiyuki Kubota, John Mendenhall, Zhao Zhang, Gulcin Pekkurnaz, Kristen Harris, Jeremy Howard, Uri Manor
Summary: Point-scanning imaging systems are widely used for high-resolution cellular and tissue imaging, but optimizing resolution, speed, sample preservation, and signal-to-noise ratio simultaneously is challenging. The use of deep learning-based supersampling, known as point-scanning super-resolution (PSSR) imaging, can mitigate these limitations. PSSR facilitates high-resolution, fast, and sensitive image acquisition with otherwise unattainable resolution.
Article
Biochemical Research Methods
Yuxuan Zhao, Meng Zhang, Wenting Zhang, Yao Zhou, Longbiao Chen, Qing Liu, Peng Wang, Rong Chen, Xinxin Duan, Feifan Chen, Huan Deng, Yunfei Wei, Peng Fei, Yu-Hui Zhang
Summary: Long-term visualization of dynamic interactions between intracellular structures in live cells is critical for understanding cellular functions. This study presents a novel approach that combines deep-learning super-resolution strategy and double-ring-modulated selective plane illumination microscopy design to achieve fast and high-resolution imaging of organelle interactions and dynamics in live cells.
Article
Biochemical Research Methods
Biagio Mandracchia, Jeonghwan Son, Shu Jia
Summary: The study introduced an optofluidic scanning microscopy (OSM) system for super-resolution, live-cell imaging, utilizing multi-focal excitation through the innate fluidic motion of specimens to achieve effective resolution doubling, optical sectioning, and contrast enhancement. The system features minimal instrumental complexity and full compatibility with various microfluidic configurations, offering a promising super-resolution optofluidic paradigm for miniaturization and different levels of integration at the chip scale.
News Item
Multidisciplinary Sciences
Ewen Callaway
Summary: The technique surpasses the resolving power of multi-million-dollar machines.
Article
Biochemistry & Molecular Biology
Ivona Kubalova, Alzbeta Nemeckova, Klaus Weisshart, Eva Hribova, Veit Schubert
Summary: Fluorescence light microscopy is important for studying cellular structures, but limited by light diffraction; super-resolution techniques like SIM are used to overcome this limitation; however, STED and SMLM, which offer higher resolution, are not widely applied in plant cell research due to specific sample preparation requirements.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Editorial Material
Biology
Maximilian T. Strauss
Summary: Picasso-server is a server interface that combines algorithms, workflow management system, and database for processing high-content super-resolution data. It utilizes community-tested algorithms to achieve production-grade processing capability.
COMMUNICATIONS BIOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
H. J. Geertsema, G. Aimola, V Fabricius, J. P. Fuerste, B. B. Kaufer, H. Ewers
Summary: Left-handed DNA probes improve super-resolution DNA-PAINT imaging in the nucleus by reducing background signal, maintaining the same specificity and multiplexing capabilities as right-handed DNA probes.
NATURE BIOTECHNOLOGY
(2021)
Article
Biotechnology & Applied Microbiology
Weisong Zhao, Shiqun Zhao, Liuju Li, Xiaoshuai Huang, Shijia Xing, Yulin Zhang, Guohua Qiu, Zhenqian Han, Yingxu Shang, De-En Sun, Chunyan Shan, Runlong Wu, Lusheng Gu, Shuwen Zhang, Riwang Chen, Jian Xiao, Yanquan Mo, Jianyong Wang, Wei Ji, Xing Chen, Baoquan Ding, Yanmei Liu, Heng Mao, Bao-Liang Song, Jiubin Tan, Jian Liu, Haoyu Li, Liangyi Chen
Summary: Sparse structured illumination microscopy (Sparse-SIM) achieves nearly twofold resolution enhancement by utilizing sparse deconvolution algorithm, enabling the resolution of intricate biological structures such as small fusion pores, nuclear pores, and relative movements of inner and outer mitochondrial membranes.
NATURE BIOTECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Miranda Parisi, Massimiliano Lucidi, Paolo Visca, Gabriella Cincotti
Summary: This article reviews various super-resolution microscopy techniques utilized by microbiologists to investigate bacterial cell morphology and functions. The achieved resolution is discussed, with a focus on fluorophore selection and other critical imaging requirements. Recent applications are described, which have provided novel insights into bacterial cellular structures. The pivotal role of super-resolution microscopy in addressing antimicrobial resistance is emphasized.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Review
Chemistry, Multidisciplinary
Jiwoong Kwon, Mohamed Saleh Elgawish, Sang-Hee Shim
Summary: Photobleaching is a major limitation in super-resolution microscopy, but it can be overcome by developing new probes, chemical environments, and utilizing the on-off transitions of fluorescence. These efforts have the potential to enhance resolution and extend the observation time in super-resolution microscopy.
Article
Cell Biology
Khuloud Jaqaman, James A. Galbraith, Michael W. Davidson, Catherine G. Galbraith
MOLECULAR BIOLOGY OF THE CELL
(2016)
Editorial Material
Cell Biology
Catherine G. Galbraith, Philipp J. Keller, Eva Nogales
MOLECULAR BIOLOGY OF THE CELL
(2013)
Article
Biochemical Research Methods
Thomas A. Planchon, Liang Gao, Daniel E. Milkie, Michael W. Davidson, James A. Galbraith, Catherine G. Galbraith, Eric Betzig
Article
Neurosciences
J. -H. Tao-Cheng, A. Dosemeci, P. E. Gallant, S. Miller, J. A. Galbraith, C. A. Winters, R. Azzam, T. S. Reese
Article
Multidisciplinary Sciences
Gleb Shtengel, James A. Galbraith, Catherine G. Galbraith, Jennifer Lippincott-Schwartz, Jennifer M. Gillette, Suliana Manley, Rachid Sougrat, Clare M. Waterman, Pakorn Kanchanawong, Michael W. Davidson, Richard D. Fetter, Harald F. Hess
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2009)
Review
Nanoscience & Nanotechnology
James A. Galbraith, Catherine G. Galbraith
WILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY
(2011)
Article
Biology
Catherine G. Galbraith, Michael W. Davidson, James A. Galbraith
News Item
Biophysics
Ulrike Boehm, Catherine G. Galbraith
BIOPHYSICAL JOURNAL
(2021)
Editorial Material
Cell Biology
Catherine G. G. Galbraith
Summary: The challenges of annotating ground-truth images and network training limit the use of machine learning in automating the mining of volume electron microscopy data. In this article, Gallusser et al. (2023. J. Cell Biol. https://doi.org/10. 1083/jcb.202208005) present a less computationally intense pipeline that can detect a single type of organelle using a limited number of loosely annotated images.
JOURNAL OF CELL BIOLOGY
(2023)
