A5007492527- Advanced Fluorescence Microscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- Optical Coherence Tomography Applications
- Cell Image Analysis Techniques
- Photoacoustic and Ultrasonic Imaging
- Digital Holography and Microscopy
- Near-Field Optical Microscopy
- Image Processing Techniques and Applications
- Integrated Circuits and Semiconductor Failure Analysis
- Molecular Biology Techniques and Applications
- Micro and Nano Robotics
- Advanced Biosensing Techniques and Applications
- Cleft Lip and Palate Research
- Force Microscopy Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Heat shock proteins research
- Craniofacial Disorders and Treatments
- Ear and Head Tumors
- Salivary Gland Tumors Diagnosis and Treatment
- Microfluidic and Bio-sensing Technologies
- dental development and anomalies
- Photonic and Optical Devices
- Skin and Cellular Biology Research
- Advanced Optical Sensing Technologies
- Cancer Diagnosis and Treatment
UiT The Arctic University of Norway
2020-2024
Centre for Arctic Gas Hydrate, Environment and Climate
2021-2023
Universidad de Los Andes, Chile
2020
Histology involves the observation of structural features in tissues using a microscope. While diffraction-limited optical microscopes are commonly used histological investigations, their resolving capabilities insufficient to visualize details at subcellular level. Although novel set super-resolution microscopy techniques can fulfill resolution demands such cases, system complexity, high operating cost, lack multi-modality, and low-throughput imaging these methods limit wide adoption for...
Abstract Extracellular matrix diseases like fibrosis are elusive to diagnose early on, avoid complete loss of organ function or even cancer progression, making diagnosis crucial. Imaging the densities proteins collagen in fixed tissue sections with suitable stains and labels is a standard for staging. However, fine changes density difficult realize by conventional histological staining microscopy as fibrils finer than resolving capacity these microscopes. The dyes further blur outline add...
To demonstrate nanoscale motion tracing of spermatozoa and present analysis the traces to characterize consistency as a complement progressive motility analysis.
Structured illumination microscopy suffers from the need of sophisticated instrumentation and precise calibration. This makes structured microscopes costly skill-dependent. We present a novel approach to realize super-resolution using an alignment non-critical system reconstruction algorithm that does not information. The optical is designed encode higher order frequency components specimen by projecting PSF-modulated binary patterns for illuminating sample plane, which do have clean Fourier...
Optical-lattice illumination patterns help in pushing high spatial frequency components of the sample into optical transfer function a collection microscope. However, exploiting these high-frequency require precise knowledge if reconstruction approaches similar to structured microscopy are employed. Here, we present an alternate blind approach that can provide super-resolution without requirement extra frames. For this, property temporal fluctuations emissions using "multiple signal...
We present an open-source implementation of the fluctuation-based nanoscopy method MUSICAL for ImageJ. This improves algorithm's computational efficiency and takes advantage multi-threading to provide orders magnitude faster reconstructions than original MATLAB implementation. In addition, plugin is capable generating super-resolution videos from large stacks time-lapse images via interleaved reconstruction, thus enabling easy-to-use multi-color imaging dynamic systems.
Photonic chip-based total internal reflection fluorescence microscopy (c-TIRFM) is an emerging technology enabling a large TIRF excitation area decoupled from the detection objective. Additionally, due to inherent multimodal nature of wide waveguides, it convenient platform for introducing temporal fluctuations in illumination pattern. The fluctuation-based nanoscopy technique multiple signal classification algorithm (MUSICAL) does not assume stochastic independence emitter emission and can...
Fluorescence fluctuations-based super-resolution microscopy (FF-SRM) is an emerging field promising low-cost and live-cell compatible imaging beyond the resolution of conventional optical microscopy. A comprehensive overview on how nature fluctuations, label density, out-of-focus light, sub-cellular dynamics, sample itself influence reconstruction in FF-SRM crucial to design appropriate biological experiments. We have experimentally compared several recently developed techniques (namely ESI,...
Motility of cells plays an important role to determine the cell growth, health and monitor gene transformation. The aim current study is propose a combination high-contrast label-free imaging method computational approach (conventionally used for super-resolution) which can be as tool in tracing motion organelles. Here, we integrate quantitative phase microscopy (QPM) with waveguide-based trapping (WT) applied multiple signal classification algorithm (MUSICAL) analyze trapped particle. We...
Multiple signal classification algorithm (MUSICAL) exploits temporal fluctuations in fluorescence intensity to perform super-resolution microscopy by computing the value of a super-resolving indicator function across fine sample grid. A key step is separation measurements into and noise subspaces, based on single user-specified parameter called threshold. The resulting image strongly sensitive this subjectivity arising from multiple practical factors makes it difficult determine right rule...
Image denoising or artefact removal using deep learning is possible in the availability of supervised training dataset acquired real experiments synthesized known noise models. Neither conditions can be fulfilled for nanoscopy (super-resolution optical microscopy) images that are generated from microscopy videos through statistical analysis techniques. Due to several physical constraints, a cannot measured. Further, non-linear spatio-temporal mixing data and valuable statistics fluctuations...
Contrast in fluorescence microscopy images allows for the differentiation between different structures by their difference intensities. However, factors such as point-spread function and noise may reduce it, affecting its interpretability. We identified that fluctuation of emitters a stack can be exploited to achieve increased contrast when compared average Richardson-Lucy deconvolution. tested our methods on four increasingly challenging samples including tissue, which case results were...
The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique for wide-field fluorescence microscopy. Although MUSICAL has several advantages, such as its high resolution, low computational performance limited exploitation. This paper aims to analyze the and scalability of improving performance. We first optimize analysis by using latest high-performance computing libraries parallel programming techniques. Thereafter, we provide insights into MUSICAL's...
Abstract Fluorescence-based super-resolution optical microscopy (SRM) techniques allow the visualization of biological structures beyond diffraction limit conventional microscopes. Despite its successful adoption in cell biology, integration SRM into field histology has been deferred due to several obstacles. These include limited imaging throughput, high cost, and need for complex sample preparation. Additionally, refractive index heterogeneity labeling density commonly available...
Structured illumination microscopy (SIM) is a most popular super-resolution technique used in cell biology and bio-imaging. Here, we present novel approach to realize multiscale SIM by swapping the non-linearity between instrumentation reconstruction algorithm achieve super-resolution. Our goal overcome two conventional limitations of i.e., fixed resolution need precise knowledge pattern. The optical system encodes higher order frequencies sample projecting PSF-modulated binary patterns for...
El grupo de neoplasias malignas tejido blando la región cabeza y cuello en pacientes pediátricos está representado por carcinomas, sarcomas, melanomas tumores diferenciación incierta. La neoplasia más prevalente población pediátrica es el Rabdomiosarcoma, seguido carcinoma células escamosas. Los rangos presentación son muy amplios, siendo los grupos entre 2-6 años 15-19 que presentan mayor incidencia. Se ha planteado etiologÃa estas tratamiento comúnmente enfoque multimodal,...
Optical waveguide chips are shown as an alternative to far-field optics for the excitation of biological microscopy samples, with high refractive index materials and photonic circuits pushing boundaries conventional super-resolution optical implementations.
Abstract Histopathological assessment involves the identification of anatomical variations in tissues that are associated with diseases. While diffraction-limited optical microscopes assist diagnosis a wide variety pathologies, their resolving capabilities insufficient to visualize some anomalies at subcellular level. Although novel set super-resolution microscopy techniques can fulfill resolution demands such cases, system complexity, high operating cost, lack multimodality, and...
Multiple Signal Classification (MUSIC) has been approached from signal processing [1], [2] for direction of arrival estimation in radar technology and electromagnetic inverse scattering super-resolved imaging point scatterers [3], [4]. Recently, it adopted fluorescence optical microscopy through adapting additional physical properties the forward problem, being called as MUSIC ALgorithm (or MUSICAL) [5]. However, its practical utility suffered need user specifying a threshold heuristically...
1. Abstract Histopathological assessment involves the identification of anatomical variations in tissues that are associated with diseases. While diffraction-limited optical microscopes assist diagnosis a wide variety pathologies, their resolving capabilities insufficient to visualize some anomalies at subcellular level. Although novel set super-resolution microscopy techniques can fulfill resolution demands such cases, system complexity, high operating cost, lack multimodality, and...