A5014047764- Advanced Fluorescence Microscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Cell Image Analysis Techniques
- Optical Wireless Communication Technologies
- Semiconductor Lasers and Optical Devices
- Near-Field Optical Microscopy
- Gene expression and cancer classification
- Advanced Biosensing Techniques and Applications
- Advanced Wireless Communication Techniques
- Plant and animal studies
- Advanced X-ray and CT Imaging
- Ecology and Vegetation Dynamics Studies
- Advanced MRI Techniques and Applications
- Error Correcting Code Techniques
- Wireless Communication Networks Research
- Advanced Photonic Communication Systems
- Digital Holography and Microscopy
- Medical Imaging Techniques and Applications
- Force Microscopy Techniques and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Plant and Fungal Species Descriptions
- Advanced Optical Sensing Technologies
North Carolina Agricultural and Technical State University
2023-2024
Northwestern University
2022
University at Buffalo, State University of New York
2019-2021
University of North Dakota
2016-2017
Tribhuvan University
2016
SignificanceSpectroscopic single-molecule localization microscopy (sSMLM) takes advantage of nanoscopy and spectroscopy, enabling sub-10 nm resolution as well simultaneous multicolor imaging multi-labeled samples. Reconstruction raw sSMLM data using deep learning is a promising approach for visualizing the subcellular structures at nanoscale.AimDevelop novel computational leveraging to reconstruct both label-free fluorescence-labeled data.ApproachWe developed two-network-model based...
Spectroscopic single-molecule localization microscopy (sSMLM) simultaneously provides spatial and spectral information of individual single-molecules emission, offering multicolor super-resolution imaging multiple molecules in a single sample with the nanoscopic resolution. However, this technique is limited by requirements acquiring large number frames to reconstruct image. In addition, sSMLM suffers from cross-talk while using dyes relatively broad bands that produce cross-color...
MRI acceleration using deep learning (DL) convolutional neural networks (CNNs) is a novel technique with great promise. Increasing the number of layers may allow for more accurate image reconstruction. Studies on evaluating diagnostic interchangeability DL reconstructed knee magnetic resonance (MR) images are scarce. The purpose this study was to develop CNN (DCNN) an optimal accelerating imaging (MRI) acquisition by 6-fold and test quality nonaccelerated versus 15-layer DCNN or 3-layer...
Abstract Chromatin-sensitive Partial Wave Spectroscopic (csPWS) microscopy offers a non-invasive glimpse into the mass density distribution of cellular structures at nanoscale, leveraging spectroscopic information. Such capability allows us to analyze chromatin structure and organization global transcriptional state cell nuclei for study its role in carcinogenesis. Accurate segmentation csPWS images is an essential step isolating them further analysis. However, manual error-prone, biased,...
Free space laser communications provides wide bandwidth and high security capabilities to cellular backhaul network in order successfully accomplish data communication between cell sites NOC (Network Operation Center). For this application, an optical receiver is a critical component needs be designed operate sunlight other ambient noise environments while providing reliable transmission. In paper, method of Space Laser Communication along with differential presented for the solution 5G...
Significance: Single-molecule localization-based super-resolution microscopy has enabled the imaging of microscopic objects beyond diffraction limit. However, this technique is limited by requirements an extremely large number frames biological samples to generate a image, thus requiring longer acquisition time. Additionally, processing such image sequence leads data Therefore, accelerating and in single-molecule localization (SMLM) been perennial interest. Aim: To accelerate...
The present study analyzes the information and perception of local community Samagaun VDC, Manaslu Conservation Area Project (MCAP) regarding Dactylorhiza hatagirea (D. Don) Soó (Orchidaceae). We assessed peoples' on its population status, availability, factors causing decline management practices this terrestrial orchids. A pre-designed questionnaire was used to gather targeting age group between 25 60 years (n = 75, 45 male 30 female). Most informants (76%) believe that abundance orchid is...
Chromatin-sensitive partial wave spectroscopic (csPWS) microscopy offers a non-invasive glimpse into the mass density distribution of cellular structures at nanoscale, leveraging information. Such capability allows us to analyze chromatin structure and organization global transcriptional state cell nuclei for study its role in carcinogenesis. Accurate segmentation csPWS images is an essential step isolating them further analysis. However, manual error-prone, biased, time-consuming,...
Laser based radio communication system, i.e. OptoRadio, using Orthogonal M-ary PSK Modulation scheme is presented in this paper. In scheme, when a block of data needs to be transmitted, the corresponding biorthogonal code transmitted by means multi-phase shift keying. At receiver, two photo diodes are cross coupled. The effect that net output power due ambient light close zero. laser signal then only into one receivers. With all other signals being cancelled out, an overwhelmingly dominant...
This paper presents a bandwidth efficient coded modulation scheme based on orthogonal M-ary QAM (OMQAM) modulation. Orthogonal is multi-quadrature amplitude that utilizes block of bi-orthogonal code to map data. In this scheme, information data blocks are using codes which then modulated by QAM. At the receiver demodulated decoded code-correlation technique. The detailed designs, transmission bandwidths, and simulated error performances additive white Gaussian noise channel presented...
We present a deep-learning-based computational approach for multicolor spectroscopic single-molecule localization microscopy. Artificial neural networks trained on simulated data to localize the stochastically blinking single-molecules and enhance corresponding emission spectra show improved simultaneous imaging.
Single-molecule-localization based super-resolution microscopy has enabled the imaging of microscopic objects beyond diffraction limit. However, these techniques are limited by requirements an extremely large number frames for cell structures, thus having longer acquisition time. Here, we present a computational algorithm to accelerate 3D single-molecule localization technique using blind sparse inpainting. This reconstructs high-density images from low-density ones, maintaining similar...
We present all machine learning-based reconstruction approach for simultaneous multicolor spectroscopic super-resolution microscopy. Machine learning is used localization and spectral classification. Reconstruction of the two-color imaging nanoruler sample with a mark-to-mark distance 40 nm presented.