Article
Computer Science, Artificial Intelligence
Jenny Schmalfuss, Erik Scheurer, Heng Zhao, Nikolaos Karantzas, Andres Bruhn, Demetrio Labate
Summary: Blind inpainting algorithms based on deep learning architectures have shown remarkable performance, outperforming model-based methods in terms of image quality and run time. However, these neural network strategies often lack theoretical explanations, unlike model-based methods. This work combines the advantages of transform domain methods and sparse approximations with a CNN-based approach for blind image inpainting.
JOURNAL OF MATHEMATICAL IMAGING AND VISION
(2023)
Review
Cell Biology
Hui Yi Grace Lim, Nicolas Plachta
Summary: The cytoskeleton plays crucial roles in regulating cell function and behavior during early mammalian embryogenesis. The early mouse embryo provides a valuable model for studying cytoskeletal dynamics and interactions in vivo. Through genetic manipulations and live-imaging approaches, researchers are able to uncover novel cytoskeletal structures and mechanisms controlling key developmental processes.
NATURE REVIEWS MOLECULAR CELL BIOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Jasmine Wyatt, Yuen Ka Chan, Mateusz Hess, Mahvash Tavassoli, Manuel M. Mueller
Summary: Apoptin is a small viral protein that selectively induces cell death in cancer cells. Phosphorylation of Thr108 is found to be the key factor that determines its toxicity. Mechanistic studies reveal that Thr108ph is associated with actin binding, cytoskeletal disruption, inhibition of anoikis-resistance, and cancer cell invasion. These findings establish apoptin as a pro-drug activated in cancer cells by phosphorylation, disrupting the cytoskeleton and promoting cell death, and provide a framework for designing next-generation anticancer proteins.
Article
Multidisciplinary Sciences
Jin-Sung Park, Il-Buem Lee, Hyeon-Min Moon, Seok-Cheol Hong, Minhaeng Cho
Summary: Researchers used a label-free interferometric scattering microscope to track cargo transportation in cells and discovered that cells employ strategies similar to human transportation systems to overcome transportation hurdles.
NATURE COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Hui Ma, Xiaobing Yuan, Jiang Wang, Baoqing Li
Summary: Wideband spectrum sensing based on sub-Nyquist sampling is an attractive approach to improve dynamic spectrum sharing. This paper proposes a two-step scheme for blind wideband spectrum sensing using a Modulated Wideband Converter (MWC) sub-Nyquist sampling front-end to dynamically adjust joint support recovery and improve recovery performance.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Biochemical Research Methods
Sunil Kumar Gaire, Yanhua Wang, Hao F. Zhang, Dong Liang, Leslie Ying
Summary: The study aims to accelerate three-dimensional SMLM imaging by leveraging a computational approach to reconstruct high-density 3D images from low-density ones without compromising resolution, achieving superior reconstruction results and reducing the number of acquired frames.
JOURNAL OF BIOMEDICAL OPTICS
(2021)
Article
Acoustics
Gilles Chardon, Ulysse Boureau
Summary: The study explores the application of the Sliding Frank-Wolfe algorithm to gridless compressive beamforming for estimating the 3D position and amplitudes of sources. The algorithm shows good performance and numerical efficiency compared to the state of the art techniques, with experimental results and Monte Carlo simulations demonstrating its effectiveness.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
Article
Computer Science, Artificial Intelligence
Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo
Summary: This paper addresses the problem of semantic image layout manipulation by proposing a high-resolution sparse attention module and a generator architecture. It effectively transfers visual details to new layouts while maintaining visual realism.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Zhan Zhang, Ping Wei, Huaguo Zhang, Lijuan Deng
Summary: This paper addresses the problem of joint spectrum sensing and DOA estimation under array receiver based on MWC and sub-Nyquist sampling. Two algorithms are proposed to improve estimation robustness by utilizing Fourier series coefficients for frequency estimation. The proposed approaches contribute to robust DOA estimation under high noise level.
Article
Mathematics, Interdisciplinary Applications
Zun Li, Aimin Chen, Xiaomeng Shen, Tongjun Miao
Summary: This study proposes a model for blind image inpainting, which integrates rational fractal interpolation information for image restoration. The model accurately expresses the texture and structural features of the image, while avoiding serrated edges and achieving restoration close to the original image.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2023)
Article
Optics
Xiaoyu Nie, Xingchen Zhao, Tao Peng, Marlan O. Scully
Summary: In this work, a sub-Nyquist computational ghost imaging technique using orthonormal spectrum-encoded speckle patterns is proposed and experimentally demonstrated. The method enables the reconstruction of high-quality grayscale images at very low sampling ratios and can be combined with compressive sensing to further enhance image quality.
Article
Computer Science, Information Systems
JaKeoung Koo
Summary: This study proposes a sinogram upsampling method using the sub-Riemannian diffusion process to improve the quality of reconstruction. Experimental results demonstrate its effectiveness in inpainting fine details.
Article
Biology
Arkaprabha Basu, Manash K. Paul, Mitchel Alioscha-Perez, Anna Grosberg, Hichem Sahli, Steven M. Dubinett, Shimon Weiss
Summary: This study presents a computational method for quantifying actin stress fiber alignment in fluorescence images of cultured cells, which can detect changes in stress fiber organization during EMT. The study also identifies an intermediate EMT state with a specific cytoskeletal signature and partitions EMT into two steps. Additionally, the study introduces a figure of merit, the Orientational Order Parameter (OOP), to track EMT progression and characterize the cytoskeletal response to drugs in live cells. The developed image quantification tool, SPOCC, has improved throughput and non-destructiveness, making it suitable for studying various biological processes.
COMMUNICATIONS BIOLOGY
(2022)
Article
Multidisciplinary Sciences
Cornelia Bratengeier, Astrid D. Bakker, Aneta Liszka, Jorg Schilcher, Anna Fahlgren
Summary: Our study investigates the effect of supraphysiological loading on osteoclast formation and identifies mechanosensitive cells in the peri-implant environment that produce osteoclast-stimulating factors. We found that monocytes and mesenchymal stem cells released factors that enhanced osteoclastogenesis, while osteoprogenitors and pre-osteoblasts had a weaker effect.
SCIENTIFIC REPORTS
(2022)
Article
Automation & Control Systems
Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu
Summary: HADS algorithm utilizes computer vision to automatically identify sub-goals in hierarchical deep reinforcement learning and improves algorithm performance by removing unreachable sub-goal points.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yanjie Zhu, Yuanyuan Liu, Leslie Ying, Zhilang Qiu, Qiegen Liu, Sen Jia, Haifeng Wang, Xi Peng, Xin Liu, Hairong Zheng, Dong Liang
Summary: The MS-T-1 rho solution developed in this study allows for high-resolution whole-brain T-1 rho mapping within 4 minutes, showing good agreement with reference values in phantom and in vivo experiments. The results suggest that MS-T-1 rho may be a useful tool for investigating neural diseases, with accelerated T-1 rho measurements showing moderate to good agreement with fully sampled reference values.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Chemistry, Multidisciplinary
Geun-ho Kim, Jinkyoung Chung, Hyunbum Park, Doory Kim
Summary: This study demonstrates the successful combination of grating-based SR-STORM with Nile red dye for single-molecule polarity sensing, allowing for effective detection of nanoscale local polarity in various organic solvents and surfactants. The proposed method effectively distinguishes different polarities of functional groups within surfactant molecules at the single-molecule level, and has the potential for application to other chemical systems by combining with other chromic molecules.
BULLETIN OF THE KOREAN CHEMICAL SOCIETY
(2021)
Article
Multidisciplinary Sciences
Jinkyoung Chung, Dokyung Jeong, Geun-Ho Kim, Seokran Go, Jaewoo Song, Eunyoung Moon, Yang Hoon Huh, Doory Kim
Summary: Understanding platelet activation pathways by characterizing protein clusters within platelets is crucial for identifying activation states and improving therapies. Super-resolution imaging was used to observe ultrastructural changes during activation, showing reorganization and arrangement of organelles. These findings call for a reassessment of complex activation processes.
SCIENTIFIC REPORTS
(2021)
Review
Chemistry, Multidisciplinary
Doory Kim
Summary: Lanthanide-activated alkaline earth aluminate phosphors are excellent luminescent materials with a wide variety of phosphorescence colors, making them suitable for various applications. This review article discusses the synthesis methods, persistent luminescence mechanisms, and composition effects of these phosphors, with a focus on widely used alkaline earth aluminate phosphors.
Article
Biochemistry & Molecular Biology
Kelvin Pieknell, Yanuar Alan Sulistio, Noviana Wulansari, Wahyu Handoko Wibowo Darsono, Mi-Yoon Chang, Ji-Yun Ko, Jong Wook Chang, Min-Jeong Kim, Man Ryul Lee, Sang A. Lee, Hyunbeom Lee, Gakyung Lee, Byung Hwa Jung, Hyunbum Park, Geun-ho Kim, Doory Kim, Gayoung Cho, Chun-Hyung Kim, Dat Da Ly, Kyu-Sang Park, Sang-Hun Lee
Summary: Forced expression of LIN28A modulates cellular metabolism, enhancing the self-renewal and differentiation capacities of human SSCs. The metabolic reprogramming induced by LIN28A leads to improved functional capacity of mitochondria and allows for extensive cell proliferation with low levels of stress. This study provides mechanistic and practical approaches to enhance SSCs utility in regenerative medicine through LIN28A and metabolic reprogramming.
CELL DEATH AND DIFFERENTIATION
(2022)
Article
Biochemistry & Molecular Biology
Seokran Go, Dokyung Jeong, Jinkyoung Chung, Geun-Ho Kim, Jaewoo Song, Eunyoung Moon, Yang Hoon Huh, Doory Kim
Summary: This research examines the ultrastructural organization of various organelles in different platelet intermediates using super-resolution microscopy. The study reveals that microtubules control the overall shape of platelet intermediates, while actin and microtubules regulate the distribution of organelles. These findings call for a reassessment of organelle redistribution in platelet intermediates.
Article
Chemistry, Analytical
Jinkyoung Chung, Uidon Jeong, Dokyung Jeong, Seokran Go, Doory Kim
Summary: The development of super-resolution fluorescence microscopy has greatly improved the resolution of light microscopy. In this study, the STORM resolution was improved at a lower laser power, reducing harm to biological samples.
ANALYTICAL CHEMISTRY
(2022)
Review
Chemistry, Multidisciplinary
Dokyung Jeong, Doory Kim
Summary: The rise of super-resolution fluorescence microscopy has revolutionized our understanding of the nanoscale world. Combining this technique with spectroscopy allows for rich spectral information of individual molecules, providing multidimensional and functional information that was previously masked in bulk measurements. This review explores recent developments in single-molecule spectroscopic imaging techniques and addresses the challenges in obtaining single-molecule spectroscopic information effectively.
BULLETIN OF THE KOREAN CHEMICAL SOCIETY
(2022)
Article
Nanoscience & Nanotechnology
Yejin Park, Dokyung Jeong, Uidon Jeong, Hyunbum Park, Sungmin Yoon, Minjae Kang, Doory Kim
Summary: As the nanofabrication of polymer materials continues to advance, the local measurement of their chemical properties has become crucial due to their potential heterogeneity at the nanoscale. In this study, we developed a spectroscopic imaging approach using spectrally resolved super-resolution microscopy to characterize the nanoscale local polarity of polymer films. Our method was able to differentiate various polymer surfaces based on chemical polarities and further distinguish the polarity of functional side chain groups. Additionally, we demonstrated the ability to distinguish a two-component polymer mixture based on the contrasting polarities of the lateral phase separation, allowing for the investigation of nanoscale phase separation in polymer blends.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Biology
Dokyung Jeong, Min Jeong Kim, Yejin Park, Jinkyoung Chung, Hee-Seok Kweon, Nae-Gyu Kang, Seung Jin Hwang, Sung Hun Youn, Bo Kyoung Hwang, Doory Kim
Summary: Researchers used super-resolution microscopy to reveal the ultrastructural organization of EVs produced by gram-positive bacteria and proposed three major mechanisms of EV biogenesis. These findings highlight the significant role of cell wall degradation in regulating EV formation.
Article
Chemistry, Multidisciplinary
Duyen Thi Nguyen, Seohyun Mun, HyunBum Park, Uidon Jeong, Geun-ho Kim, Seongsil Lee, Chung-Sam Jun, Myung Mo Sung, Doory Kim
Summary: The increase in the number and complexity of process levels in semiconductor production has driven the need for new measurement methods that can evaluate fine patterns and simultaneously detect nanoscale contaminants or defects. This study successfully imaged semiconductor nanostructures as small as 30 nm and detected individual 20 nm-diameter contaminants using the STORM technique. The study demonstrates the potential of STORM for nanoscale metrology and defect inspection in semiconductor integrated circuits.
Review
Biochemistry & Molecular Biology
Yoonsuk Hyun, Doory Kim
Summary: With the development of super-resolution imaging techniques, understanding protein structure at the nanoscale in terms of clustering and organization in a cell is crucial. This review categorizes computational cluster analysis methods for single-molecule localization microscopy (SMLM) images into classical and machine learning-based methods, and discusses possible future directions for machine learning-based cluster analysis methods for SMLM data.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Dae-Hyeon Song, Chang Woo Song, Jinkyoung Chung, Eun-Hae Jang, Hyunwoo Kim, Yongsuk Hur, Eun-Mi Hur, Doory Kim, Jae-Byum Chang
Summary: In biological studies, brightfield, fluorescence, and electron microscopy are commonly used. While brightfield microscopy is the most accessible, electron microscopy provides the highest resolution. In this study, a new imaging technique called decoration microscopy (DecoM) is introduced, which labels proteins inside cells using gold nanoparticles and silver development for electron microscopy imaging. Additionally, DecoM is combined with expansion microscopy to enable sub-micron resolution brightfield microscopy imaging.
NANOSCALE ADVANCES
(2023)
Review
Biochemistry & Molecular Biology
Dokyung Jeong, Doory Kim
Summary: The combination of correlative super-resolution fluorescence microscopy (SRM) and electron microscopy (EM) is an effective hybrid technique that allows the simultaneous acquisition of spatial locations of specific molecules and the context of cellular ultrastructure. Although there are challenges in integrating these two microscopy techniques, extensive research has led to significant improvements and widespread applications.
MOLECULES AND CELLS
(2022)
Article
Engineering, Biomedical
Huijuan Zhang, Hongyu Li, Nikhila Nyayapathi, Depeng Wang, Alisa Le, Leslie Ying, Jun Xia
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2020)