Article
Optics
He Cheng, Pooria Golvari, Chun Xia, Mingman Sun, Meng Zhang, Stephen M. Kuebler, Xiaoming Yu
Summary: This paper reports a method for fabricating large-area helical structures with adjustable forms using multiphoton polymerization. The method involves single-exposure, structured light fields and can significantly reduce fabrication time, paving the way for adopting multiphoton polymerization in industrial applications.
PHOTONICS RESEARCH
(2022)
Review
Chemistry, Analytical
Li-Xue Jiang, Manxi Yang, Syeda Nazifa Wali, Julia Laskin
Summary: In the past two decades, the power of mass spectrometry imaging (MSI) for label-free spatial mapping of molecules in biological systems has been substantially enhanced through the development of high spatial resolution imaging approaches. However, the experimental throughput has become a limiting factor for imaging large samples and 3D imaging of tissues. To address this issue, several experimental and computational approaches have been recently developed to improve the throughput of MSI. These approaches focus on speeding up sampling, reducing mass spectrometer acquisition time, and minimizing the number of sampling locations. The rate-determining steps for different MSI methods and future directions in the development of high-throughput MSI techniques are discussed.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Jindou Shi, Kajari Bera, Prabuddha Mukherjee, Aneesh Alex, Eric J. J. Chaney, Bradley Spencer-Dene, Jan Majer, Marina Marjanovic, Darold R. R. Spillman, Steve R. R. Hood, Stephen A. A. Boppart
Summary: A deep learning-assisted HS-CARS imaging approach was proposed for profiling, identifying, and localizing drug fingerprints in biological samples at a single-cell resolution. The attention-based deep neural network, HAN, highlighted informative regions through the attention mechanism. The technique was used to investigate drug fingerprints of hepatitis B virus therapy in murine liver tissues, showing high classification accuracy and similarity with in situ hybridization staining results.
ANALYTICAL CHEMISTRY
(2023)
Article
Nanoscience & Nanotechnology
Lei Chen, Saima Kanwal, Binbin Yu, Jijun Feng, Chunxian Tao, Jing Wen, Dawei Zhang
Summary: This study experimentally demonstrates the generation of high-uniformity and high-resolution Bessel beam arrays using all-dielectric metasurfaces. By optimizing the design of the grating and reducing the size of each supercell, subwavelength transverse dimensions and large numerical apertures are achieved while maintaining relatively high uniformity intensity. This research has significant implications for applications of metasurface-based Bessel beam arrays in various fields.
Article
Optics
Valeria Viviana Belloni, Mostafa Hassan, Luca Furfaro, Remo Giust, Anne-Magali Seydoux-Guillaume, Sergio Sao-Joao, Francois Courvoisier
Summary: Engineering the polarization and spatial phase of ultrafast laser pulses allows for enhanced control over laser-matter interaction and rapid nano-fabrication. This study demonstrates the single-shot, ultrafast laser fabrication of high-aspect-ratio nano-pillars on a sapphire surface using diffraction-free, first-order Bessel beams with radial or azimuthal polarization distributions. The intense laser-matter interaction generates a high-pressure field beneath the material surface, leading to the rapid expulsion of material and the formation of vertically-standing nanopillars.
LASER & PHOTONICS REVIEWS
(2023)
Article
Biochemical Research Methods
Elliott Gordon-Rodriguez, Thomas P. Quinn, John P. Cunningham
Summary: CoDaCoRe is a novel learning algorithm that identifies sparse, interpretable, and predictive log-ratio biomarkers. The algorithm uses a continuous relaxation to approximate the underlying combinatorial optimization problem, and efficiently optimizes it using modern ML techniques such as gradient descent. CoDaCoRe outperforms competing methods across various datasets.
Article
Chemistry, Analytical
Hui Zhang, Chang Liu, Wenyi Hua, Lucien P. Ghislain, Jianhua Liu, Lisa Aschenbrenner, Stephen Noell, Kenneth J. Dirico, Lorraine F. Lanyon, Claire M. Steppan, Mike West, Don W. Arnold, Thomas R. Covey, Sammy S. Datwani, Matthew D. Troutman
Summary: This study introduces a mass spectrometry analytical platform that combines acoustic droplet ejection technology, an open-port interface, and electrospray ionization, facilitating high-speed sampling and label-free analysis. This integrated system eliminates the laborious sample preparation and method development required in current approaches, making it suitable for various experiments in pharmacology screening, enzyme kinetics, pharmacokinetics, and medicinal chemistry.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Iestyn Pope, Francesco Masia, Kenneth Ewan, Ana Jimenez-Pascual, Trevor C. Dale, Florian A. Siebzehnrubl, Paola Borri, Wolfgang Langbein
Summary: Quantitative hyperspectral coherent Raman scattering microscopy combines imaging with spectroscopy to extract physically meaningful chemical components with sub-cellular resolution. This label-free method can discriminate different cellular sub-populations and has potential for non-invasive disease diagnostics.
Article
Chemistry, Physical
Dachuang Shi, Yun Chen, Zijian Li, Shankun Dong, Liyi Li, Maoxiang Hou, Huilong Liu, Shenghe Zhao, Xin Chen, Ching-Ping Wong, Ni Zhao
Summary: This study demonstrates an etching structure that utilizes anisotropic charge carrier flow to achieve high-throughput, external-bias-free wet etching of high-aspect-ratio SiC micro/nano-structures. The design largely suppresses charge losses and yields remarkable vertical etching rate and aspect ratio, setting new records for wet-etching methods for SiC.
Article
Chemistry, Multidisciplinary
David F. Nippa, Kenneth Atz, Remo Hohler, Alex T. Muller, Andreas Marx, Christian Bartelmus, Georg Wuitschik, Irene Marzuoli, Vera Jost, Jens Wolfard, Martin Binder, Antonia F. Stepan, David B. Konrad, Uwe Grether, Rainer E. Martin, Gisbert Schneider
Summary: A late-stage functionalization platform based on geometric deep learning and high-throughput experimentation was developed, enabling the optimization of complex drug molecules. The computational model accurately predicted reaction outcomes, yields, and regioselectivity, reducing the need for de novo synthesis.
Article
Geochemistry & Geophysics
Chunbo Cheng, Hong Li, Jiangtao Peng, Wenjing Cui, Liming Zhang
Summary: This article proposes a deep high-order tensor convolutional sparse coding model DHTCSCNet for feature extraction of hyperspectral images. By combining multiple features and using graph-based learning methods for classification, it achieves better classification performance compared to other methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Biochemistry & Molecular Biology
Emma J. Chory, Dana W. Gretton, Erika A. DeBenedictis, Kevin M. Esvelt
Summary: Researchers have developed Pyhamilton, an open-source Python platform for executing complex pipetting patterns required for high-throughput experiments. By integrating a plate reader, they were able to maintain nearly 500 remotely monitored bacterial cultures in log-phase growth without the need for user intervention. Using this technology, they successfully optimized bioreactor protein production and comprehensively sampled the carbon, nitrogen, and phosphorus fitness landscape.
MOLECULAR SYSTEMS BIOLOGY
(2021)
Article
Optics
Jialiang Lv, Xuexiao Ma, Xiazhong Liu, Jing Luo, Peijun Yao, Lixin Xu, Qiwen Zhan
Summary: This paper proposes and demonstrates two types of all few-mode fiber lasers with self-starting high-order mode (HOM) oscillation. The fundamental mode is completely suppressed using a bandpass filter with a few-mode fiber pigtail. The fiber laser oscillates directly in HOM with high SNR and efficiency, and the self-starting HOM mode-locked pulse is easily achieved with a saturable absorber. This compact and stable fiber laser has important applications in various fields.
Article
Multidisciplinary Sciences
Mert Boya, Tevhide Ozkaya-Ahmadov, Brandi E. Swain, Chia-Heng Chu, Norh Asmare, Ozgun Civelekoglu, Ruxiu Liu, Dohwan Lee, Sherry Tobia, Shweta Biliya, L. DeEtte McDonald, Bassel Nazha, Omer Kucuk, Martin G. Sanda, Benedict B. Benigno, Carlos S. Moreno, Mehmet A. Bilen, John F. McDonald, A. Fatih Sarioglu
Summary: The authors introduce a new technology, Cluster-Wells, which enables fast and accurate isolation and analysis of CTC clusters in blood, providing a potential tool for further studying the utility of these clusters in cancer management.
NATURE COMMUNICATIONS
(2022)
Article
Plant Sciences
Andrea Genangeli, Giovanni Avola, Marco Bindi, Claudio Cantini, Francesco Cellini, Stefania Grillo, Angelo Petrozza, Ezio Riggi, Alessandra Ruggiero, Stephan Summerer, Anna Tedeschi, Beniamino Gioli
Summary: Recent developments in low-cost imaging hyperspectral cameras have opened up new possibilities for high-throughput phenotyping. This study integrated a low-cost hyperspectral camera into an HTP platform to evaluate the drought stress resistance and physiological response of four tomato genotypes. The study collected over 120 gigabytes of hyperspectral data and developed an innovative segmentation method to reduce the dataset. The results showed the better capacity of the hyperspectral index to describe the dynamic of drought stress trend compared to optical indices, while the selected optical indices were capable of describing structural changes during plant growth.
Article
Physics, Multidisciplinary
Thomas Allcock, Wolfgang Langbein, Egor A. Muljarov
Summary: In this study, we propose an exact analytical approach to investigate the optical response of a two-level system coupled to a microcavity. By increasing the pulse area of the excitation field, we are able to form a quantum Mollow quadruplet, which quantizes the semiclassical Mollow triplet.
PHYSICAL REVIEW LETTERS
(2022)
Article
Computer Science, Artificial Intelligence
Francesco Masia, Walter Dewitte, Paola Borri, Wolfgang Langbein
Summary: This article introduces a data analysis method called uFLIM, which can analyze FLIM data and determine the spatial distribution and temporal dynamics of multiple fluorescent components without prior knowledge. The method can process data in real-time and is highly efficient.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Nanoscience & Nanotechnology
J. Askey, M. Hunt, W. Langbein, S. Ladak
Summary: Cylindrical magnetic nanowires have been extensively studied for their unique topology and dynamic properties. This study numerically investigates the domain wall magnetization textures of nickel nanowires and discovers a new domain wall type that combines aspects of both Bloch point walls and asymmetric transverse walls.
Article
Microscopy
Francesco Masia, Wolfgang Langbein, Simon Fischer, Jon-Olaf Krisponeit, Jens Falta
Summary: This article demonstrates the use of an algorithm called FSC3 for identifying distinct physical surface phases using low-energy electron microscopy (LEEM) hyperspectral images. The algorithm is unsupervised and fast, and a sparse sampling method is introduced to reduce measurement time. Additionally, a support vector machine is used for supervised classification of surface types.
JOURNAL OF MICROSCOPY
(2023)
Article
Chemistry, Multidisciplinary
Vigneshwaran Chandrasekaran, Lorenzo Scarpelli, Francesco Masia, Paola Borri, Wolfgang Langbein, Zeger Hens
Summary: In this study, the exciton dephasing in colloidal InP/ZnSe QDs was analyzed using transient four-wave mixing spectroscopy. It was found that the dephasing time of excitons at 5 K is 23 ps, which agrees with the smallest line width of exciton emission. The dephasing process was determined to be a phonon-induced, thermally activated process.
Article
Chemistry, Multidisciplinary
Ediz Kaan Herkert, Domenica Romina Bermeo Alvaro, Martina Recchia, Wolfgang Langbein, Paola Borri, Maria F. Garcia-Parajo
Summary: Biosensing applications often require single-molecule sensitivity in the presence of strong background signals. Plasmonic nanoantennas can confine and enhance light in volumes far below the diffraction limit, making them suitable for these tasks. Hybrid AiB platforms made of both gold and aluminum promise superior performance by providing better background screening and additional enhancements.
Article
Physics, Applied
Iestyn Pope, Nuno G. C. Ferreira, Peter Kille, Wolfgang Langbein, Paola Borri
Summary: The ability to detect small metallic nanoparticles by optical microscopy inside environmentally relevant species may have a wide impact for ecotoxicology studies. We demonstrate four-wave mixing microscopy on individual small gold nanoparticles inside the hepatopancreas of Oniscus Asellus, a terrestrial isopod, which ingests metals found in the soil. Four-wave mixing microscopy holds great potential to investigate the fate of metal nanoparticles inside biological systems.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Iestyn Pope, Hugh Tanner, Francesco Masia, Lukas Payne, Kenton Paul Arkill, Judith Mantell, Wolfgang Langbein, Paola Borri, Paul Verkade
Summary: In this study, small gold nanoparticles were used as a single probe for correlative light-electron microscopy (CLEM). The nanoparticles were bound to epidermal growth factor protein and precisely located in human cancer cells using light microscopy with four-wave mixing (FWM). The corresponding transmission electron microscopy images showed high accuracy in the correlation mapping. By reducing systematic errors, the correlation accuracy was improved to below 40 nm, and the localization precision was below 10 nm. Polarization-resolved FWM correlated with nanoparticle shapes, promising future applications in multiplexing through shape recognition. The photostability of gold nanoparticles and the applicability of FWM microscopy to living cells make FWM-CLEM a powerful alternative to fluorescence-based methods.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Nicole Slesiona, Lukas Payne, Iestyn Pope, Paola Borri, Wolfgang Langbein, Peter Watson
Summary: Nanoparticles (NPs) are promising therapeutic delivery agents, and the ligand density of NP-protein constructs affects their therapeutic fate. An optical microscopy technique is introduced to analyze the conjugation of gold NPs (GNPs) with fluorescently labeled tags, using holo-transferrin as an example. This method quantifies individual GNPs' ligand density and reveals significant variability in ligands per GNP, highlighting the limitations of ensemble-averaged data.
ADVANCED MATERIALS INTERFACES
(2023)
Article
Chemistry, Analytical
David Regan, Alexandra Mavridi-Printezi, Lukas Payne, Marco Montalti, Paola Borri, Wolfgang Langbein
Summary: We used quantitative differential interference contrast (qDIC) and extinction microscopy to characterize the optical properties of single melanin nanoparticles (NPs), both naturally sourced and synthetic. We found that the natural melanin NPs have a higher absorption index on average compared to the synthetic melanin NPs.
