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Artificial Intelligence & Nanotechnology are promising areas for the future of humanity. While Deep Learning based Computer Vision has found applications in many fields from medicine to automotive, its application in nanotechnology can open…

Computer Vision and Pattern Recognition · Computer Science 2022-01-05 Rajagopal A , Nirmala V , Andrew J , Arun Muthuraj Vedamanickam.

Atomic Force Microscopy (AFM) operating in the frequency modulation mode with a metal tip functionalized with a CO molecule images the internal structure of molecules with an unprecedented resolution. The interpretation of these images is…

Materials Science · Physics 2022-12-29 Jaime Carracedo-Cosme , Rubén Pérez

Magnetic Resonance Force Microscopy (MRFM) enables three-dimensional imaging of nuclear spin densities in nanoscale objects. Based on numerical simulations, we evaluate the performance of strained SiN resonators as force sensors and show…

Applied Physics · Physics 2026-04-15 Nils Prumbaum , Christian L. Degen , Alexander Eichler

We investigate the modification of photoluminescence (PL) from single semiconductor nanocrystal quantum dots (NCs) in proximity of metal and semiconducting Atomic Force Microscope (AFM) tips. The presence of the tip alters the radiative…

Chemical Physics · Physics 2016-09-28 Yuval Ebenstein , Eyal Yoskovitz , Ronny Costi , Asaf Aharoni , Uri Banin

Understanding the biophysical and biochemical properties of molecular nanocarriers under physiological conditions and with minimal interference is crucial for advancing nanomedicine, photopharmacology, drug delivery, nanotheranostics and…

Absorption microscopy is a powerful technique, enabling the detection of single non- fluorescent molecules at room temperature. So far, the molecular absorption has been probed optically via the attenuation of a probing laser. The…

Applied Physics · Physics 2018-11-21 Miao-Hsuan Chien , Mario Brameshuber , Gerhard J. Schütz , Silvan Schmid

Atomic-resolution scanning transmission electron microscopy (STEM) characterization requires precise tilting of the specimen to high symmetric zone axis, which is usually processed in reciprocal space by following the diffraction patterns.…

Materials Science · Physics 2024-06-04 Jiake Wei , Zhangze Xu , Wenjie Shen , Bin Feng , Ryo Ishikawa , Naoya Shibata , Yuichi Ikuhara , Xuedong Bai

Tracking and acquiring simultaneous optical images of randomly moving targets obscured by scattering media remains a challenging problem of importance to many applications that require precise object localization and identification. In this…

Neural and Evolutionary Computing · Computer Science 2025-06-12 Ning Zhang , Timothy Shea , Arto Nurmikko

Aperture based scanning near field optical microscopes are important instruments to study light at the nanoscale and to understand the optical functionality of photonic nanostructures. In general, a detected image is affected by both, the…

Optical microscopy has a diffraction limited resolution of about 250 nm. Fluorescence methods (e.g. PALM, STORM, STED) beat this, but they are still limited to 10 s of nm, and the images are an indirect pointillist representation of only…

We suggest simple model of image formation in atomic force microscope (AFM) taking into account contact deformations of probe and sample during scanning. The model explains the possibility of AFM visualization of regular atomic or molecular…

Materials Science · Physics 2011-07-25 M. O. Gallyamov , I. V. Yaminsky

Despite the significant progress in image denoising, it is still challenging to restore fine-scale details while removing noise, especially in extremely low-light environments. Leveraging near-infrared (NIR) images to assist visible RGB…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Rongjian Xu , Zhilu Zhang , Renlong Wu , Wangmeng Zuo

Researchers from a broad spectrum of scientific and engineering disciplines are increasingly using near-field infrared spectroscopic techniques to characterize materials nondestructively and with nanoscale spatial resolution. However,…

Optics · Physics 2023-03-21 Jonathan M. Larson , Hans A. Bechtel , Robert Kostecki

Focusing light through dynamically varying heterogeneous media is a sought-after goal with important applications ranging from free-space communication to nano-surgery. The underlying challenge is to control the optical wavefront with a…

We propose a novel concept of asymmetric feature maps (AFM), which allows to evaluate multiple kernels between a query and database entries without increasing the memory requirements. To demonstrate the advantages of the AFM method, we…

Computer Vision and Pattern Recognition · Computer Science 2017-04-14 Giorgos Tolias , Ondřej Chum

Sensor nodes in a wireless sensor network (WSN) for security surveillance applications should preferably be small, energy-efficient, and inexpensive with in-sensor computational abilities. An appropriate data processing scheme in the sensor…

Neural and Evolutionary Computing · Computer Science 2022-05-04 Anand Kumar Mukhopadhyay , Naligala Moses Prabhakar , Divya Lakshmi Duggisetty , Indrajit Chakrabarti , Mrigank Sharad

We propose a new method to investigate interactions involved in atomic force microscopy (AFM). It is a dynamical method relying on the growth of oscillations via parametric resonance. With this method the second and third derivatives of the…

Materials Science · Physics 2007-05-23 Franz-Josef Elmer

We investigate nano scanning in tapping mode atomic force microscopy (AFM) under quality (Q) control via numerical simulations performed in SIMULINK. We focus on the simulation of whole scan process rather than the simulation of cantilever…

Atomic Physics · Physics 2015-06-04 Aydin Varol , Ihsan Gunev , Bilal Orun , Cagatay Basdogan

Scanning tunnelling microscopy (STM) enables atomic-resolution imaging and atom manipulation, but its utility is often limited by tip degradation and slow serial data acquisition. Fabrication adds another layer of complexity since the tip…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Nikola L. Kolev , Tommaso Rodani , Neil J. Curson , Taylor J. Z. Stock , Alberto Cazzaniga

Spiking Neural Networks (SNNs) offer an event-driven and more biologically realistic alternative to standard Artificial Neural Networks based on analog information processing. This can potentially enable energy-efficient hardware…

Emerging Technologies · Computer Science 2019-02-06 Indranil Chakraborty , Gobinda Saha , Kaushik Roy