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Surface Enhanced Raman Spectroscopy (SERS) is a well-established technique for enhancing Raman signals. Recently photonic integrated circuits have been used, as an alternative to microscopy based excitation and collection, to probe SERS…

The tools and technology that are currently used to analyze chemical compound structures that identify polymer types in microplastics are not well-calibrated for environmentally weathered microplastics. Microplastics that have been degraded…

机器学习 · 计算机科学 2025-01-09 Sheela Ramanna , Danila Morozovskii , Sam Swanson , Jennifer Bruneau

The combination of Deep Learning techniques and Raman spectroscopy shows great potential offering precise and prompt identification of pathogenic bacteria in clinical settings. However, the traditional closed-set classification approaches…

定量方法 · 定量生物学 2023-10-24 Yaroslav Balytskyi , Nataliia Kalashnyk , Inna Hubenko , Alina Balytska , Kelly McNear

The rapid and accurate detection of biochemical compositions in fish is a crucial real-world task that facilitates optimal utilization and extraction of high-value products in the seafood industry. Raman spectroscopy provides a promising…

Anomalous surface enhanced Raman scattering (SERS) peaks are identified for liquid sample stored in polypropylene centrifuge tubes (PP tube) for months. We observed the unexpected Raman peaks during experiments for Thiamine Hydrochloride…

定量方法 · 定量生物学 2016-10-26 Zhida Xu , Logan Liu

The detection and classification of microplastics in water remain a significant challenge due to their diverse properties and the limitations of traditional optical methods. Standard spectroscopic techniques often suffer from the strong…

计算机视觉与模式识别 · 计算机科学 2026-03-25 Leonard Saur , Marc von Pawlowski , Ulrich Gengenbach , Ingo Sieber , Hossein Shirali , Lorenz Wührl , Xiangyu Weng , Rainer Kiko , Christian Pylatiuk

To reduce the complexity of infrared spectroscopy hardware while maintaining performance, a data informed, task-specific, spectral collection approach termed Sparse Infrared Spectroscopy (SIRS) is developed. Using a numerically based…

化学物理 · 物理学 2025-06-27 Mira Welner , Andre Hazbun , Thomas Beechem

Here we design, construct, and characterize a compact Raman-spectroscopy-based sensor that measures the concentration of a water-methanol mixture. The sensor measures the concentration with an accuracy of 0.5% and a precision of 0.2% with a…

仪器与探测器 · 物理学 2018-08-16 Daniel D. Hickstein , Russell Goldfarmmuren , Jack Darrah , Luke Erickson , Laura A. Johnson

Scanning electron microscopy (SEM) is indispensable in diverse applications ranging from microelectronics to food processing because it provides large depth-of-field images with a resolution beyond the optical diffraction limit. However,…

Monitored Natural Attenuation (MNA) is gaining prominence as an effective method for managing soil and groundwater contamination due to its cost-efficiency and minimal environmental disruption. Despite its benefits, MNA necessitates…

机器学习 · 计算机科学 2024-11-20 Vu-Anh Le , Haruko Murakami Wainwright , Hansell Gonzalez-Raymat , Carol Eddy-Dilek

Currently the extent of nanoplastic in the environment can only be estimated by extrapolation from the plastic waste that can be detected. To be able to quantify the whole extent of the problem, detection methods have to be developed that…

光学 · 物理学 2025-11-12 Ambika Shorny , Fritz Steiner , Helmut Hörner , Sarah M. Skoff

Strain-level identification of viruses is critical for effective public health responses to potential outbreaks, yet current diagnostic methods often lack the necessary speed or sensitivity. Surface-enhanced Raman spectroscopy (SERS) offers…

Improper solid waste management represents both a serious threat to ecosystem health and a significant source of revenues for criminal organizations perpetrating environmental crimes. This issue can be mitigated thanks to the increasing…

计算机视觉与模式识别 · 计算机科学 2025-09-18 Federico Gibellini , Piero Fraternali , Giacomo Boracchi , Luca Morandini , Thomas Martinoli , Andrea Diecidue , Simona Malegori

Reliable identification of high-value products such as whisky is an increasingly important area, as issues such as brand substitution (i.e. fraudulent products) and quality control are critical to the industry. We have examined a range of…

Airborne contaminants, e.g., bacterial spores, are usually analyzed by time consuming microscopic, chemical and biological assays. Current research into real time laser spectroscopic detectors of such contaminants is based on e.g. resonant…

Water quality is of great importance for humans and for the environment and has to be monitored continuously. It is determinable through proxies such as the chlorophyll a concentration, which can be monitored by remote sensing techniques.…

图像与视频处理 · 电气工程与系统科学 2019-08-22 Philipp M. Maier , Sina Keller

This work demonstrates an original and ultrasensitive approach for surface-enhanced Raman spectroscopy (SERS) detection based on evaporation of self-lubricating drops containing silver supraparticles. The developed method detects an…

Remote sensing of the Earth's surface water is critical in a wide range of environmental studies, from evaluating the societal impacts of seasonal droughts and floods to the large-scale implications of climate change. Consequently, a large…

计算机视觉与模式识别 · 计算机科学 2022-12-29 Joachim Moortgat , Ziwei Li , Michael Durand , Ian Howat , Bidhyananda Yadav , Chunli Dai

Raman spectroscopy enables non-destructive, label-free imaging with unprecedented molecular contrast but is limited by slow data acquisition, largely preventing high-throughput imaging applications. Here, we present a comprehensive…

图像与视频处理 · 电气工程与系统科学 2021-12-02 Conor C. Horgan , Magnus Jensen , Anika Nagelkerke , Jean-Phillipe St-Pierre , Tom Vercauteren , Molly M. Stevens , Mads S. Bergholt

Under the impact of global climate changes and human activities, harmful algae blooms in surface waters have become a growing concern due to negative impacts on water related industries. Therefore, reliable and cost effective methods of…

计算机视觉与模式识别 · 计算机科学 2018-10-26 Jason L. Deglint , Chao Jin , Alexander Wong