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Neutrino detectors, particle calorimeters and some dark matter detectors require dense and massive active materials. An extremely fine segmentation is desirable to achieve precise three-dimensional particle tracking. However, such systems…

A nanoparticle detection scheme with single particle resolution is presented. The sensor contains only a taper fiber thus offering the advantages of compactness and installation flexibility. Sensing method is based on monitoring the…

Optics · Physics 2013-05-31 Jiangang Zhu , Sahin Kaya Ozdemir , Lan Yang

Our growing ability to tailor healthcare to the needs of individuals has the potential to transform clinical treatment. However, the measurement of multiple biomarkers to inform clinical decisions requires rapid, effective, and affordable…

Nanoparticles of plasmonic metals have significantly to the development of spectroscopic techniques, enabling strong confinement of electromagnetic fields at the nanoscale and corresponding signal amplification. However, to date, plasmonic…

Characterizing materials using electron micrographs is crucial in areas such as semiconductors and quantum materials. Traditional classification methods falter due to the intricatestructures of these micrographs. This study introduces an…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Sakhinana Sagar Srinivas , Geethan Sannidhi , Sreeja Gangasani , Chidaksh Ravuru , Venkataramana Runkana

Single particle imaging (SPI) at X-ray free electron lasers (XFELs) is a technique to determine the 3D structure of nanoscale objects like biomolecules from a large number of diffraction patterns of copies of these objects in random…

Image and Video Processing · Electrical Eng. & Systems 2022-10-20 Abhishek Mall , Kartik Ayyer

Miniaturizing nonlinear optical components is essential for integrating advanced light manipulation into compact photonic devices, enabling scalable and cost-effective applications. While monocrystalline lithium niobate thin films advance…

For autonomous vehicles, driving safely is highly dependent on the capability to correctly perceive the environment in 3D space, hence the task of 3D object detection represents a fundamental aspect of perception. While 3D sensors deliver…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Issa Mouawad , Nikolas Brasch , Fabian Manhardt , Federico Tombari , Francesca Odone

Extracellular vesicles (EVs) have drawn rapidly increasing attention as the next-generation diagnostic biomarkers and therapeutic agents. However, the heterogeneous nature of EVs necessitates advanced methods for profiling EVs at the…

Biomolecules · Quantitative Biology 2025-07-08 Yiting Liu , Anthony James El-helou , Bill Soderstrom , Juanfang Ruan , Ying Zhu

Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still…

Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in biological tissue with…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Yijie Zhang , Luzhe Huang , Nir Pillar , Yuzhu Li , Lukasz G. Migas , Raf Van de Plas , Jeffrey M. Spraggins , Aydogan Ozcan

Super-resolution imaging methods that combine interferometric (z) analysis with single-molecule localization microscopy (iSMLM) have achieved ultra-high 3D precision and contributed to the elucidation of important biological…

Optics · Physics 2025-02-20 Wei Wang , Zengxin Huang , Yilin Wang , Hangfeng Li , Pakorn Kanchanawong

More than twenty years ago, scientists succeeded in pushing the limits of optical detection to single molecules using fluorescence. This breakthrough has revolutionized biophysical measurements, but restrictions in photophysics and labeling…

Biological Physics · Physics 2015-06-17 Marek Piliarik , Vahid Sandoghdar

In molecular beam scattering experiments, an important technique for measuring product energy and angular distributions is velocity map imaging following photoionization. For studies with cold molecular beams, the resolution is often…

Identifying chemical compounds is essential in several areas of science and engineering. Laser-based techniques are promising for autonomous compound detection because the optical response of materials encodes enough electronic and…

Machine Learning · Computer Science 2023-03-17 Thulasi Bikku , Rubén A. Fritz , Yamil J. Colón , Felipe Herrera

With X-ray free-electron lasers (XFELs), it is possible to determine the three-dimensional structure of noncrystalline nanoscale particles using X-ray single-particle imaging (SPI) techniques at room temperature. Classifying SPI scattering…

Machine Learning · Computer Science 2023-02-15 Cong Wang , Eric Florin , Hsing-Yin Chang , Jana Thayer , Chun Hong Yoon

Interferometric-based microscopies stand as powerful label-free approaches for monitoring and characterising chemical reactions and heterogeneous nanoparticle systems in real time with single particle sensitivity. Nevertheless, coherent…

Live cell imaging using metallic nanoparticles as tags is an emerging technique to visualize long and highly dynamic processes due to the lack of photobleaching and high photon rate. However, the lack of excited states as compared to…

Mesoscale and Nanoscale Physics · Physics 2011-01-12 H. E. Grecco , O. E. Martínez

In combining DNA nanotechnology and high-bandwidth single-molecule detection in nanopipettes, we demonstrate an all-electric, label-free hybridisation sensor for short DNA sequences (< 100 nt). Such short fragments are known to occur as…

Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency. They are supported by machine learning methods, which, despite the lack of labeling and the associated lower contrast, can classify…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Stefan Röhrl , Johannes Groll , Manuel Lengl , Simon Schumann , Christian Klenk , Dominik Heim , Martin Knopp , Oliver Hayden , Klaus Diepold
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