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Atomic Force Microscopy - Infrared (AFM-IR) spectroscopy allows spectroscopic studies in the mid-infrared spectral region with a spatial resolution better than 50 nm. We show that the high spatial resolution can be used to perform…

Quantitative Methods · Quantitative Biology 2017-04-06 Luca Quaroni , Katarzyna Pogoda , Joanna-Wiltowska Zuber , Wojciech Kwiatek

Miniaturized spectrometers employing chip solutions are essential for a wide range of applications, such as wearable health monitoring, biochemical sensing, and portable optical coherence tomography. However, the development of integrated…

Optics · Physics 2025-05-22 Wenzhang Tian , Hao Chen , Mingyuan Zhang , Zengqi Chen , Yeyu Tong

The resolution limits of classical spectroscopy can be surpassed by quantum-inspired methods leveraging the information contained in the phase of the complex electromagnetic field. Their counterpart in spatial imaging has been widely…

Optics · Physics 2024-09-02 Michał Lipka , Michał Parniak

Photothermal-Induced Resonance (PTIR) spectroscopy and imaging with infrared light has seen increasing application in molecular spectroscopy of biological samples. The appeal of the technique lies in its capability to provide information…

Quantitative Methods · Quantitative Biology 2019-11-19 Luca Quaroni

Hyperspectral imaging is a powerful bioimaging tool which can uncover novel insights, thanks to its sensitivity to the intrinsic properties of materials. However, this enhanced contrast comes at the cost of system complexity, constrained by…

Ovarian cancer detection has traditionally relied on a multi-step process that includes biopsy, tissue staining, and morphological analysis by experienced pathologists. While widely practiced, this conventional approach suffers from several…

Fourier-transform infrared spectroscopy (FTIR) is a powerful analytical method for not only the chemical identification of solid, liquid, and gas species, but also the quantification of their concentration. However, the chemical…

Intracellular lasers are emerging as powerful biosensors for multiplexed tracking and precision sensing of cells and their microenvironment. This sensing capacity is enabled by quantifying their narrow-linewidth emission spectra, which is…

Terahertz microscopy has attracted attention owing to distinctive characteristics of the THz frequency region, particularly non-ionizing photon energy, spectral fingerprint, and transparency to most nonpolar materials. Nevertheless, the…

Hyperspectral imaging offers new perspectives for diverse applications, ranging from the monitoring of the environment using airborne or satellite remote sensing, precision farming, food safety, planetary exploration, or astrophysics.…

Image and Video Processing · Electrical Eng. & Systems 2021-11-19 Théo Bodrito , Alexandre Zouaoui , Jocelyn Chanussot , Julien Mairal

Shortwave-infrared(SWIR) spectral information, ranging from 1 {\mu}m to 2.5{\mu}m, overcomes the limitations of traditional color cameras in acquiring scene information. However, conventional SWIR hyperspectral imaging systems face…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Linqiang Li , Jinglei Hao , Yongqiang Zhao , Pan Liu , Haofang Yan , Ziqin Zhang , Seong G. Kong

We introduce a technique based on infrared thermal emission, termed depth thermography, that can remotely measure the temperature distribution beneath the surface of certain objects. Depth thermography utilizes the thermal-emission spectrum…

Optics · Physics 2019-08-22 Yuzhe Xiao , Chenghao Wan , Alireza Shahsafi , Jad Salman , Mikhail A. Kats

Traditional spectral imaging methods are constrained by the time-consuming scanning process, limiting the application in dynamic scenarios. One-shot spectral imaging based on reconstruction has been a hot research topic recently and the…

Label-free and nondestructive mid-infrared vibrational hyperspectral imaging is emerging as an important ex-vivo tissue analysis tool, providing spatially resolved biochemical information critical to understanding physiological and…

This research paper introduces a synthetic hyperspectral dataset that combines high spectral and spatial resolution imaging to achieve a comprehensive, accurate, and detailed representation of observed scenes or objects. Obtaining such…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Yajie Sun , Ali Zia , Jun Zhou

Fourier transform infrared nanospectroscopy (nano-FTIR) is a novel, increasingly adopted characterization method that leverages decades of established knowledge in infrared spectroscopy at the nanoscale. It opens up new possibilities in the…

Optics · Physics 2026-05-21 Gergely Nemeth , Ferenc Borondics

Fluorescence microscopy is an important and extensively utilised tool for imaging biological systems. However, the image resolution that can be obtained has a limit as defined through the laws of diffraction. Demand for improved resolution…

Biological Physics · Physics 2007-08-27 James H. Rice

The field of infrared (IR) photonics is currently undergoing remarkable progress, moving rapidly towards practical sensing applications demanded by medical therapy and diagnostics (theranostics). The Developments can be divided into three…

Applied Physics · Physics 2026-02-10 Borislav Hinkov , Johannes Kunsch , Werner Mäntele , Lukasz Sterczewski , Ángel Sánchez-Illana , Jaume Béjar-Grimalt , Víctor Navarro-Esteve , David Perez-Guaita , Alexander Mittelstädt , Philippa Clark , Valentino Lepro , Sergius Janik , Thorsten Lubinski , Luis Felipe das Chagas e Silva de Carvalho , Hugh James Byrne , Filiz Korkmaz , Michael Kaluza , Mattia Saita , Lars Melchior , Alicja Dabrowska , Georg Ramer , Bernhard Lendl , Nathalie Woitzik , Klaus Gerwert , Peter Gardner , Hugues Tariel , Olivier Sire , Margaux Petay , Elisabeth Holub , Markus Brandstetter , Kristina Duswald , Verena Karl , Florian Meirer , Lukas Kenner , Gabriela Flores Rangel , Boris Mizaikoff , Mohamed Sy , Aamir Farooq , Liudmila Voronina , Marinus Huber , Tarek Eissa , Katharina Dietmann , Lorenzo Gatto , Mihaela Žigman , Joseph Rebel , Frank Fleischmann , Jakub Mnich , Jarosław Sotor , Bassam Saadany , Matthias Budden , Thomas Gebert , Marco Schossig , Shankar Baliga , Timothy Olsen , Christopher Harrower , Ivan Zorin , Chiara Lindner , Shigeki Takeuchi , Sven Ramelow , Paul Gattinger , David Stark , Réka-Eszter Vass , Killian Keller , Alessio Cargioli , Mattias Beck , Jérôme Faist , Robert Weih , Josephine Nauschütz , Julian Scheuermann , Jordan Fordyce , Johannes Koeth , Ka Fai Mak , Alexander Weigel , Ryszard Piramidowicz , Stanisław Stopiński , Mircea Guina , Jukka Viheriälä , Felix Jaeschke , Polina Fomina , Alexander Novikov , Viacheslav Artyushenko , Ivan Sinev , Nikita Glebov , Berkay Dagli , Hatice Altug

Hyperspectral Imaging (HSI) serves as a non-destructive spatial spectroscopy technique with a multitude of potential applications. However, a recurring challenge lies in the limited size of the target datasets, impeding exhaustive…

Computer Vision and Pattern Recognition · Computer Science 2023-09-21 Hannah Frank , Leon Amadeus Varga , Andreas Zell

Hyperspectral imaging (HSI) is a key technology for earth observation, surveillance, medical imaging and diagnostics, astronomy and space exploration. The conventional technology for HSI in remote sensing applications is based on the…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Shuo Li , Mike Davies , Mehrdad Yaghoobi
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