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Related papers: DNA detection by THz pumping

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We present the extention and application of a new unsupervised statistical learning technique--the Partition Decoupling Method--to gene expression data. Because it has the ability to reveal non-linear and non-convex geometries present in…

Quantitative Methods · Quantitative Biology 2015-09-24 Rosemary Braun , Gregory Leibon , Scott Pauls , Daniel Rockmore

The complementary strands of DNA molecules can be separated when stretched apart by a force; the unzipping signal is correlated to the base content of the sequence but is affected by thermal and instrumental noise. We consider here the…

Biomolecules · Quantitative Biology 2015-05-13 Valentina Baldazzi , Serena Bradde , Simona Cocco , Enzo Marinari , Remi Monasson

Reliable cell counting and segmentation of oligodendrocyte progenitor cells (OPCs) are critical image analysis steps that could potentially unlock mysteries regarding OPC function during pathology. We propose a saliency-based method to…

Image and Video Processing · Electrical Eng. & Systems 2018-06-06 Haoyi Ma , Rebecca Beiter , Alban Gaultier , Scott T. Acton , Zongli Lin

Optoplasmonic methods capable of single protein detection so far rely on analyte immobilization in order to facilitate detection [1-6]. These detection schemes, even if they facilitate transient single-molecule detection [7,8] via…

Optics · Physics 2022-01-21 M. D. Baaske , N. Asgari , D. Punj , M. Orrit

DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structure level is crucial for validating their design and…

Biological Physics · Physics 2025-10-21 Wangwei Dong , Zezhou Liu , Ruiyao Liu , Deborah Kuchnir Fygenson , Walter Reisner

We describe a straightforward, automated line tracking method to visualize within optical resolution the contour of linear macromolecules as they rearrange shape as a function of time by Brownian diffusion and under external fields such as…

Biological Physics · Physics 2011-02-24 Juan Guan , Bo Wang , Steve Granick

In many real-world settings, machine learning models need to identify user inputs that are out-of-domain (OOD) so as to avoid performing wrong actions. This work focuses on a challenging case of OOD detection, where no labels for in-domain…

Computation and Language · Computer Science 2022-03-23 Di Jin , Shuyang Gao , Seokhwan Kim , Yang Liu , Dilek Hakkani-Tur

An experimental continuous-wave (cw) pump-probe scheme is demonstrated by investigating the population and photoionization dynamics of an atomic system. Specifically, $^6$Li atoms are initially prepared in optically pumped $2^{2}S_{1/2}$…

Direct photon detection is experimentally implemented to measure the squeezing and purity of a single-mode squeezed vacuum state without an interferometric homodyne detection. Following a recent theoretical proposal [arXiv…

Quantum Physics · Physics 2009-11-10 J. Wenger , J. Fiurasek , R. Tualle-Brouri , N. J. Cerf , Ph. Grangier

In this work, the detection of terahertz (THz) pulse via different schemes of THz time-domain spectroscopy (THz-TDS), including electro-optic sampling (EOS) and photoconductive sampling (PCS), has been reviewed by insisting on its…

Optics · Physics 2023-08-17 Jiayu Zhao

Droplet microfluidics offers a versatile platform for analyzing liquid samples. Despite its potential, there is a lack of techniques that allow to reliably probe individual circulating droplets. The prospect of combining droplet…

Quantitative Methods · Quantitative Biology 2024-03-08 Marc Sulliger , Jaime Ortega Arroyo , Romain Quidant

The terahertz (THz) spectral domain offers a myriad of applications spanning chemical spectroscopy, medicine, security and imaging[1]. It has also recently become a playground for fundamental studies of light-matter interactions [2-6]. THz…

Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available. In the area of measurement technology,…

Quantitative Methods · Quantitative Biology 2019-08-20 Yueqin Li , Ata Mahjoubfar , Claire Lifan Chen , Kayvan Reza Niazi , Li Pei , Bahram Jalali

Terahertz time-domain spectroscopy (THz-TDS) is a non-invasive, non-contact and label-free technique for biological and chemical sensing as THz-spectra is less energetic and lies in the characteristic vibration frequency regime of proteins…

Optics · Physics 2020-07-01 Subham Adak , Laxmi Narayan Tripathi

Optical pump-probe spectroscopy is a powerful tool to directly probe the carrier dynamics in materials down to sub-femtosecond resolution. To perform such measurement, while keeping the pump induced perturbation to the sample as small as…

Segmenting blood vessels in fundus imaging plays an important role in medical diagnosis. Many algorithms have been proposed. While deep Neural Networks have been attracting enormous attention from computer vision community recent years and…

Computer Vision and Pattern Recognition · Computer Science 2017-05-02 Yongliang Chen

Microchip electrokinetic methods are capable of increasing the sensitivity of molecular assays by enriching and purifying target analytes. However, their use is currently limited to assays that can be performed under a high external…

Quantitative Methods · Quantitative Biology 2019-01-01 Xander F. van Kooten , Moran Bercovici , Govind V. Kaigala

We demonstrate a pump-probe strobe light spectroscopy for sensitive detection of magneto-optical dynamics in the context of hybrid magnonics. The technique uses a combinatorial microwave-optical pump-probe scheme, leveraging both the…

Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur along with the progression of glaucoma. Although several deep…

Recent studies in DNA sequence classification have leveraged sophisticated machine learning techniques, achieving notable accuracy in categorizing complex genomic data. Among these, methods such as k-mer counting have proven effective in…

Genomics · Quantitative Biology 2024-01-26 Şükrü Ozan