Article
Biochemical Research Methods
Duanyang Xu, Konstantinos N. Bourdakos, Anna Crisford, Peter Johnson, Ibrahim Abughazaleh, Panuwat Srisamran, Richard O. C. Oreffo, Sumeet Mahajan, David J. Richardson, Lin Xu
Summary: We present an all-fiber ized 1840-nm thulium-fiber-laser source for label-free biological imaging through nonlinear microscopy. The source consists of a dissipative-soliton mode-locked seed laser and a chirped-pulse-amplification system. It utilizes short pulses generated by the mode-locked laser and pulse compression techniques to achieve high-quality imaging of biological samples.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Biophysics
Yuanyuan Guo, Carl Frederik Werner, Shoma Handa, Mengyun Wang, Tomokazu Ohshiro, Hajime Mushiake, Tatsuo Yoshinobu
Summary: This study developed an all-in-one pH probe for spatially-resolved and label-free pH sensing in vivo, integrating a field-effect pH sensor with a multimodal fiber. The probe can measure pH changes at multiple spots simultaneously with high spatial and temporal resolutions, and has been successfully implanted into the hippocampal formation of rats for pH measurement under physiological and pathological conditions.
BIOSENSORS & BIOELECTRONICS
(2021)
Article
Physics, Multidisciplinary
Giovanni Perosa, Jonas Waetzel, David Garzella, Enrico Allaria, Matteo Bonanomi, Miltcho Boyanov Danailov, Alexander Brynes, Carlo Callegari, Giovanni De Ninno, Alexander Demidovich, Michele Di Fraia, Simone Di Mitri, Luca Giannessi, Michele Manfredda, Luka Novinec, Nitish Pal, Giuseppe Penco, Oksana Plekan, Kevin C. Prince, Alberto Simoncig, Simone Spampinati, Carlo Spezzani, Marco Zangrando, Jamal Berakdar, Raimund Feifel, Richard J. Squibb, Ryan Coffee, Erik Hemsing, Eleonore Roussel, Giuseppe Sansone, Brian W. J. Meneil, Primoz Rebernik Ribic
Summary: This study demonstrates the generation of extreme-ultraviolet (XUV) free-electron laser (FEL) pulses with time-dependent polarization. By combining two mutually delayed counterrotating circularly polarized subpulses, polarization modulation can be achieved on a femtosecond timescale. This method has the potential to improve the resolution and element selectivity of techniques based on polarization shaping and may lead to the development of new coherent control schemes for probing and manipulating core electrons in matter.
PHYSICAL REVIEW LETTERS
(2023)
Article
Cell Biology
Ghazal Naseri Kouzehgarani, Mikhail E. Kandel, Masayoshi Sakakura, Joshua S. Dupaty, Gabriel Popescu, Martha U. Gillette
Summary: The dynamic nature of astrocyte morphology plays an important role in hippocampal learning and memory, particularly in the dentate gyrus. Traditional microscopy techniques lack sufficient contrast to detect changes in astrocyte structure and function, but gradient light interference microscopy allows for quantitative measurements of single-cell dry mass and volume. It has been discovered that the volume of astrocytes decreases by 25% during the nocturnal cycle, primarily through exchange with the aqueous medium in the environment.
Article
Chemistry, Multidisciplinary
Andrea Barbaglia, Michele Dipalo, Giovanni Melle, Giuseppina Iachetta, Lieselot Deleye, Aliaksandr Hubarevich, Andrea Toma, Francesco Tantussi, Francesco De Angelis
Summary: The article introduces a new noninvasive method to record action potentials in human cells by utilizing the concept of mirror charges, which converts cell ionic currents into mirror charges in a microfluidic chamber to create a virtual mirror cell with high spatial resolution and parallelization. Through a series of experiments, it is shown that this method is an ideal choice for assessing cardiotoxicity in human-derived cardiomyocytes.
ADVANCED MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Jian-Guan Hua, Shu-Yu Liang, Qi-Dai Chen, Saulius Juodkazis, Hong-Bo Sun
Summary: This work presents a universal and flexible technology for the fabrication of crystalline micro-optics with required shape and surface roughness. By combining femtosecond laser ablation with high-temperature treatment, the rough non-crystalline layer caused by ablation is removed and the surface roughness is reduced to approximately 2 nm without changing the structure shape. This technology offers nanoscale resolution and free-form 3D manufacturing capability for various crystals, providing a new approach to fabricate micro-/integrated-optics and nonlinear optical elements.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Alessandro Enrico, Oliver Hartwig, Nikolas Dominik, Arne Quellmalz, Kristinn B. Gylfason, Georg S. Duesberg, Frank Niklaus, Goran Stemme
Summary: The performance of 2D materials makes them promising for electronic, photonic, and sensing devices. However, current lithography methods for patterning these materials are limited in efficiency and can degrade performance. In this study, we demonstrate a noncontact and resist-free patterning method using a two-photon 3D printer, enabling fast and precise fabrication of patterns in 2D materials. This method has the potential to accelerate device prototyping in various research areas.
Article
Chemistry, Physical
Air Mohammad Siddiky, Mohammad Rashed Iqbal Faruque, Mohammad Tariqul Islam, Sabirin Abdullah, Mayeen Uddin Khandaker, K. S. Al-Mugren
Summary: The article presents a method of using a metamaterial-incorporated microwave sensor for material characterization, which exhibits high sensitivity and compactness. Numerical studies and simulation validation demonstrate the good performance of the sensor under different permittivity variations.
Article
Biotechnology & Applied Microbiology
Sharifun Nahar, Ahmed Mohamed, Xavier Ropagnol, Amir Hassanpour, Toshihiko Kiwa, Tsuneyuki Ozaki, Marc A. Gauthier
Summary: In this study, terahertz emission technology was used as a noninvasive and label-free technique to monitor the kinetics of enzyme-catalyzed reactions. The technique was found to be quantitative, setting the stage for its potential application in enzyme research and industrial process monitoring.
BIOTECHNOLOGY AND BIOENGINEERING
(2021)
Article
Biochemistry & Molecular Biology
Azin EbrahimAmini, Shanthini Mylvaganam, Paolo Bazzigaluppi, Mohamad Khazaei, Alexander Velumian, Bojana Stefanovic, Peter L. Carlen
Summary: The study investigated the effect of astrocytic photostimulation on extracellular potassium ion concentration, finding that stimulating astrocytes led to a decrease in [K]o. This suggests that modifying astrocytic membrane potential could be a potential tool for adjusting [K]o levels in the nervous system.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Biochemical Research Methods
Xiaohui Zhao, Wanyi Tang, Haipeng Wang, Hao He
Summary: This study shows that a single-time scanning of tightly focused femtosecond laser can modulate the stemness and senescence of tumor cells in vitro and in vivo. The laser-induced cellular senescence and stemness demonstrate distinct transitions in vitro and in vivo. Significant senescence is induced in cells located 1.2 mm deep within the tumor tissue following transient photostimulation in the 100-200 μm shallow layer in vivo, which suppresses the growth of the entire tumor in living mice.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Biotechnology & Applied Microbiology
Stacy Grieve, Nagaprasad Puvvada, Angkoon Phinyomark, Kevin Russell, Alli Murugesan, Elizabeth Zed, Ansar Hassan, Jean-Francois Legare, Petra C. Kienesberger, Thomas Pulinilkunnil, Tony Reiman, Erik Scheme, Keith R. Brunt
Summary: The study demonstrates the potential for a new tool to reassure cancer patients and inform doctors using Raman spectroscopic profiling and gold nanoparticles with machine learning algorithms. This approach helps patients live more confidently with cancer or in cancer recovery.
Article
Optics
Najmeh S. Mirian, Michele Di Fraia, Simone Spampinati, Filippo Sottocorona, Enrico Allaria, Laura Badano, Miltcho B. Danailov, Alexander Demidovich, Giovanni De Ninno, Simone Di Mitri, Giuseppe Penco, Primoz Rebernik Ribic, Carlo Spezzani, Giulio Gaio, Mauro Trovo, Nicola Mahne, Michele Manfredda, Lorenzo Raimondi, Marco Zangrando, Oksana Plekan, Kevin C. Prince, Tommaso Mazza, Richard J. Squibb, Carlo Callegari, Xi Yang, Luca Giannessi
Summary: This study introduces the generation of few-femtosecond extreme-ultraviolet laser pulses by amplifying a soliton in a multistage, superradiant cascade. The pulses produced using this method are four times shorter and have a higher peak power compared to the standard high-gain harmonic generation mode. It is shown that the pulse duration matches the Fourier transform limit of the spectral intensity distribution.
Article
Cell Biology
Marco Andreana, Caterina Sturtzel, Clemens P. Spielvogel, Laszlo Papp, Rainer Leitgeb, Wolfgang Drexler, Martin Distel, Angelika Unterhuber
Summary: The study utilized coherent anti-Stokes Raman scattering microscopy to investigate lipid accumulation in living zebrafish larvae developing tumors, revealing higher lipid accumulation in oncogene-expressing larvae compared to healthy ones. This high lipid accumulation may reflect an altered lipid metabolism in the hyperproliferating oncogene-expressing cells.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Optics
Eduard Prat, Alexander Malyzhenkov, Christopher Arrell, Paolo Craievich, Sven Reiche, Thomas Schietinger, Guanglei Wang
Summary: This paper demonstrates the generation of coherent soft x-ray free-electron laser pulses with a duration below 1 fs using nonlinear compression with a low-charge electron beam. The approach is simple and can be implemented at any x-ray FEL facility without special hardware. Temporal and spectral diagnostics confirm the production of single-spike sub-femtosecond pulses at different photon energies. This work is important for ultrafast FEL applications requiring soft x-rays.
Article
Biotechnology & Applied Microbiology
Young-Gyun Park, Chang Ho Sohn, Ritchie Chen, Margaret McCue, Dae Hee Yun, Gabrielle T. Drummond, Taeyun Ku, Nicholas B. Evans, Hayeon Caitlyn Oak, Wendy Trieu, Heejin Choi, Xin Jin, Varoth Lilascharoen, Ji Wang, Matthias C. Truttmann, Helena W. Qi, Hidde L. Ploegh, Todd R. Golub, Shih-Chi Chen, Matthew P. Frosch, Heather J. Kulik, Byung Kook Lim, Kwanghun Chung
NATURE BIOTECHNOLOGY
(2019)
Article
Cell & Tissue Engineering
Gyuhyeon Baek, Hojun Choi, Youngeun Kim, Hai-Chon Lee, Chulhee Choi
STEM CELLS TRANSLATIONAL MEDICINE
(2019)
Article
Multidisciplinary Sciences
Alexandru Grigoroiu, Jonghee Yoon, Sarah E. Bohndiek
SCIENTIFIC REPORTS
(2020)
Article
Multidisciplinary Sciences
Jonghee Yoon, Alexandru Grigoroiu, Sarah E. Bohndiek
Article
Biochemical Research Methods
Jonghee Yoon, James Joseph, Dale J. Waterhouse, Charlie Borzy, Kyla Siemens, Sarah Diamond, Vassiliki Liana Tsikitis, Sarah E. Bohndiek
Summary: The potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection was evaluated through a proof-of-concept clinical study, where spectral data from patients undergoing routine colonoscopy screening were successfully collected and analyzed. The spectral data were discriminated by tissue type using spectral angle mapping and machine learning, showing the further research value of HySE as a clinical tool.
JOURNAL OF BIOPHOTONICS
(2021)
Article
Biochemical Research Methods
Jisoo Han, Seonghoon Kim, Pyonggang Choi, Sungho Lee, Yongjae Jo, Eunsoo Kim, Myunghwan Choi
Summary: The study introduces an axially elongated Bessel beam in two-photon microscopy to address the focal shift issue during imaging of taste cells, enabling accurate imaging of physiological taste stimuli.
BIOMEDICAL OPTICS EXPRESS
(2021)
Review
Biochemical Research Methods
Jonghee Yoon
Summary: This review article introduces the application of hyperspectral imaging (HSI) technology in disease diagnosis and surgical guidance. HSI technology can obtain both spatial and spectral features of tissue, providing rich information for improved disease diagnosis and treatment. The article summarizes the basic principle of HSI, image analysis methods based on deep learning, and the challenges in clinical implementation of HSI techniques.
Article
Multidisciplinary Sciences
Yonghyeon Jo, Ye-Ryoung Lee, Jin Hee Hong, Dong-Young Kim, Junhwan Kwon, Myunghwan Choi, Moonseok Kim, Wonshik Choi
Summary: DReAM is a label-free technique for deep-tissue imaging that selectively attenuates multiple scattering, providing high-contrast images of neural fibers.
Article
Physics, Applied
Suhyun Kim, Sera Jung, Jonghee Yoon
Summary: Hyperspectral imaging techniques have the ability to identify targets based on their spectral features, and the widely used spectral scanning method using a tunable filter has a poor spectral resolution. To overcome this limitation, a deep-learning model was used to retrieve multispectral information from a red, green, and blue image, and a color chart consisting of 18 colors was proposed as a standard training target. Simulation experiments showed that the deep-learning model trained with synthetic hyperspectral images successfully retrieved high-resolution spectral data.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Optics
InYoung Park, Jonghee Yoon
Summary: The study proposes an adaptive pattern synthesis method to improve the accuracy and performance of structured illumination, which can be applied in various optical applications.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Chemistry, Analytical
Eunchan Kim, Seonghoon Kim, Myunghwan Choi, Taewon Seo, Sungwook Yang
Summary: We introduce a new deep learning framework, HAR-CNN, for removing honeycomb artifacts in fiber bundle imaging caused by optical path blocking. HAR-CNN provides an end-to-end mapping from raw fiber bundle images to artifact-free images using a convolutional neural network (CNN). By synthesizing honeycomb patterns on regular images, HAR-CNN can learn and validate the network without requiring a large collection of ground truth data. Compared to conventional methods, HAR-CNN significantly improves honeycomb pattern removal and preserves details in the 1961 USAF chart sample. It is also GPU-accelerated for real-time processing and enhanced image mosaicking performance.
Article
Neurosciences
Seonghoon Kim, Hyun Seok Moon, Thanh Tan Vo, Chang-Ho Kim, Geun Ho Im, Sungho Lee, Myunghwan Choi, Seong-Gi Kim
Summary: Functional magnetic resonance imaging (fMRI) combined with optogenetic neural manipulation is a powerful tool for mapping brain-wide effective functional networks. By incorporating programmable optogenetic stimuli generated by a digital micromirror device into an MRI scanner, researchers can flexibly manipulate neural excitation in the mouse cortex. This approach allows for spatial and temporal versatility in planning photostimulation patterns, along with optical imaging and specific genetic targeting. The use of fMRI with optogenetics enables high-throughput brain-wide effective connectivity mapping, allowing for investigation of dynamic changes in functional brain states in the same animal.
Article
Chemistry, Multidisciplinary
Ju Seung Lee, Jiwoong Choi, Gha Yeon Park, Seung Ji Kang, Jae-hun Yang, Youngkyu Lee, Myunghwan Choi, Kwangmeyung Kim, Tae-il Kim
Summary: The development of fabrication technologies and new materials has significantly improved the performance of electronic devices while reducing their overall size. However, micro/nano-size electronic devices have faced issues related to isolated heat generation in concentrated areas, especially in bio-integrated devices. To address this problem, a microscale light emitting diode (mu LED)-based neural probe with an injectable heat dissipation guide made of boron nitride (BN) nanomaterials is introduced. This heat dissipation guide effectively dissipates heat, leading to improved optical output performance of mu LEDs and enhanced lighting transmission through brain tissue without thermal damage. Additionally, it shows remarkable improvement in the therapeutic effect of photodynamic therapy in mouse cancer cells.
Review
Biochemistry & Molecular Biology
Gha Yeon Park, Hyeyeong Hwang, Myunghwan Choi
Summary: This article introduces the recent advances in optical tools used to study taste transduction pathways. Optical tools that observe cellular-level functions in this field play a crucial role in understanding how taste information is processed.
MOLECULES AND CELLS
(2022)
Article
Computer Science, Information Systems
Dong-Hee Yoon, Jonghee Yoon
Summary: In this study, a deep learning-based diagnostic method was proposed to diagnose power quality disturbances (PQDs) in electric power systems (EPSs) by utilizing a convolutional neural network (CNN). The proposed CNN model, trained by end-to-end learning and supervised learning approaches, successfully classified different types and locations of faults. Simulated data at a sampling rate of 50 Hz also accurately diagnosed faults with an accuracy of over 99%.
