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)
Review
Geology
Behnam Sadeghi
Summary: This article introduces commonly used correlation coefficient (CC) methods in geochemical studies and discusses their advantages and limitations when dealing with different types of data. It then introduces a new correlation method, Chatterjee CC (CCC), which is simple, computationally efficient, and robust to various types of data. A Python package called TripleCpy was developed to apply CCC to datasets and its efficiency was demonstrated compared to traditional methods.
ORE GEOLOGY REVIEWS
(2022)
Article
Biochemical Research Methods
Kenny K. H. Chung, Zhao Zhang, Phylicia Kidd, Yongdeng Zhang, Nathan D. Williams, Bennett Rollins, Yang Yang, Chenxiang Lin, David Baddeley, Joerg Bewersdorf
Summary: Two-color fluorogenic DNA-PAINT introduces self-quenching probes, improving imaging speed 26-fold without the need for optical sectioning.
Article
Computer Science, Artificial Intelligence
Hao Liang, Rui Cai
Summary: This study introduces an evidence correlation coefficient based on generalized information quality to accurately describe the relationship between evidence and calculate evidence conflicts. The results show that this method effectively reflects the differences between evidence and improves the rationality and accuracy of evidence combination.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Editorial Material
Cell Biology
Eric D. Leisten, Abby C. Woods, Yvette C. Wong
Summary: Live super-resolution microscopy has provided new insights into mitochondria-lysosome contact sites, shedding light on the dynamic pathway and its roles in health and disease.
JOURNAL OF CELL BIOLOGY
(2023)
Article
Oncology
Guang Zeng, Jiahui He, Wenjian Qin
Summary: The study introduces a novel wide-field pixel super-resolution colour lensfree microscopy technique for colour holographic imaging, maintaining high-resolution details and avoiding rainbow artifacts. Experimental results demonstrate the potential of this technique for various biomedical imaging applications.
FRONTIERS IN ONCOLOGY
(2021)
Article
Multidisciplinary Sciences
Robin Diekmann, Joran Deschamps, Yiming Li, Takahiro Deguchi, Aline Tschanz, Maurice Kahnwald, Ulf Matti, Jonas Ries
Summary: This article presents an automated pipeline for camera characterization based on thermally generated signal, which can mitigate image artifacts caused by pixel-to-pixel variations in sCMOS cameras. It also enables high-quality super-resolution microscopy and live-cell time-lapse microscopy.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi
Summary: The study introduces a new method Deep-ULM, which utilizes deep learning and convolutional neural networks for super-resolution vascular imaging in dense contrast-enhanced scenarios, achieving high accuracy and fast imaging. The research demonstrates through experiments that deep learning performs well under high-density contrast agent conditions.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Biochemical Research Methods
Mengting Li, Qihang Song, Yinghao Xiao, Junnan Wu, Weibing Kuang, Yingjun Zhang, Zhen-Li Huang
Summary: Quantifying the resolution of super-resolution images is crucial for biologists using super-resolution microscopy. However, traditional FWHM resolution quantification methods are time-consuming, labor-intensive, and prone to errors. This paper investigates the influencing factors and introduces the LuckyProfiler plugin, providing biologists with a simple and effective way to quantify the resolution of super-resolution images.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Physics, Applied
M. Vukovic, K. H. Liland, U. G. Indahl, M. Jakovljevic, A. S. Flo, E. Olsen, I. Burud
Summary: Photoluminescence imaging is a promising technique for high-throughput on-site inspection of photovoltaic modules. A noninvasive photoluminescence imaging method has been proposed recently, which acquires images during a current-voltage curve sweep to detect continuously changing photoluminescence signals. An alternative algorithm based on the Pearson correlation coefficient is employed to process the images efficiently and unsupervised, enabling real-time surveillance and detection of functional anomalies. This algorithm is robust to varying solar irradiance and can process photoluminescence signals from multiple asynchronized strings.
JOURNAL OF APPLIED PHYSICS
(2023)
Article
Biophysics
Qian T. Liu, Qian Wang, Youchang Zhang, Vicky Kliemke, Qian Liu, Keng C. Chou
Summary: Matrix proteins of Nipah virus are involved in virus assembly and budding, and do not directly interact with envelope proteins during this process.
BIOPHYSICAL JOURNAL
(2022)
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)
Article
Engineering, Multidisciplinary
Limu Qin, Gang Yang, Qi Sun
Summary: This paper presents a new blind deconvolution (BD) method, named maximum correlation Pearson correlation coefficient deconvolution (MCPCCD), which improves the recovery of periodic impulses. The method constructs a new objective function that combines correlation Pearson correlation coefficient (CPC) and signal fidelity term (SFT), and maximizes the function to obtain the optimal FIR filter. A preprocessing step is also introduced to reduce the requirement for periodic prior.
Article
Optics
Jinyang Li, Geng Tong, Yining Pan, Yiting Yu
Summary: A novel spatial and temporal super-resolution framework based on a recurrent neural network is proposed, achieving excellent reconstruction results and improving resolution of fluorescence images. The performance can be enhanced, running time reduced, and robustness against interference can be maintained.
Article
Biochemical Research Methods
George Sirinakis, Edward S. Allgeyer, Jinmei Cheng, Daniel St Johnston
Summary: When using spinning disks combined with PAINT methods for super-resolution imaging, the geometry of the spinning disk has an impact on imaging performance. Disk geometries with higher light collection efficiency perform better for PAINT-based super-resolution imaging.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Biophysics
Nikki M. Curthoys, Michael J. Mlodzianoski, Matthew Parent, Michael B. Butler, Prakash Raut, Jaqulin Wallace, Jennifer Lilieholm, Kashif Mehmood, Melissa S. Maginnis, Hang Waters, Brad Busse, Joshua Zimmerberg, Samuel T. Hess
BIOPHYSICAL JOURNAL
(2019)