A5018969230- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Image and Signal Denoising Methods
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Advanced Image Fusion Techniques
- Blind Source Separation Techniques
- Light effects on plants
- Circadian rhythm and melatonin
- Remote Sensing in Agriculture
- Speech and Audio Processing
- Image Processing Techniques and Applications
- Advanced Electron Microscopy Techniques and Applications
- Advanced Adaptive Filtering Techniques
- Gene Regulatory Network Analysis
- Advanced Biosensing Techniques and Applications
- Medical Image Segmentation Techniques
- Structural Health Monitoring Techniques
- Cellular transport and secretion
- Image Retrieval and Classification Techniques
- Spectroscopy and Chemometric Analyses
- Face and Expression Recognition
- Genetics, Aging, and Longevity in Model Organisms
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
Freie Universität Berlin
2018-2024
Tarbiat Modares University
2012-2017
University of Shahrood
2009-2010
Babol Noshirvani University of Technology
2009
Stimulated emission depletion (STED) microscopy is routinely used to resolve the ultrastructure of cells with a ∼10-fold higher resolution compared diffraction limited imaging. While STED based on preparing excited state fluorescent probes light, recently developed expansion (ExM) provides subdiffraction by physically enlarging sample before microscopy. The fixed cross-linking and swelling hydrogels easily enlarges ∼4-fold hence increases effective optical this factor. To overcome current...
Abstract The cell biology of circadian clocks is still in its infancy. Here, we describe an efficient strategy for generating knock-in reporter lines using CRISPR technology that particularly useful genes expressed transiently or at low levels, such as those coding clock proteins. We generated single and double cells with endogenously PER2 CRY1 fused to fluorescent proteins allowing us simultaneously monitor the dynamics live cells. Both are highly rhythmic nucleus human showing a much...
Hyperspectral imaging has gained significant interest in the past few decades, particularly remote sensing applications. The considerably high spatial and spectral resolution of modern remotely sensed data often provides more accurate information about scene. However, complexity dimensionality such data, as well potentially unwanted details embedded images, may act a degrading factor some applications classification. One solution to this issue is utilize spatial-spectral features extract...
This paper proposes an approach for the development of automatic object-based techniques used hyperspectral image classification. The proposed employs adaptive smoothing step that utilizes extension partial differential equations (PDEs) from real domain (RPDE) to complex (CPDE). idea results in generalized PDEs simultaneously have properties both forward and backward diffusions. genetic algorithm innovative fitness function are applied adaptively tuning CPDE parameters. smoothed data then...
Cellular membrane homeostasis is maintained via a tightly regulated and cargo flow between organelles of the endocytic secretory pathways. Adaptor protein complexes (APs), which are recruited to membranes by small GTPase ARF1, facilitate selection incorporation into trafficking intermediates. According classical model, vesicles would bi-directional long-range transport Golgi, endosomes plasma membrane. Here we revisit intracellular organization vesicular machinery using combination...
Brain function emerges from a highly complex network of specialized cells that are interlinked by billions synapses. The synaptic connectivity between neurons is established the elongated processes their axons and dendrites or, together, neurites. To establish these connections, cellular neurites have to grow in specialized, cell-type dependent patterns covering extensive distances connecting with thousands other neurons. outgrowth branching tightly controlled during development commonly...
Removing noise from images while keeping its important details unchanged is a challenging issue in image restoration. In this paper, we propose novel approach based on partial differential equations (PDE) order to mitigate three well-known types of noises remote sensing data features such as edges are preserved. the presented method, after performing Watershed-based segmentation preprocessing step, optimum values PDE parameters adaptively found type and texture. evaluate performance proposed...
Most mammalian cells have molecular circadian clocks that generate widespread rhythms in transcript and protein abundance. While are robust to fluctuations the cellular environment, little is known about mechanisms by which period compensates for fluctuating metabolic states. Here, we exploit heterogeneity of single both a parameter—protein stability—to study their interdependence without need genetic manipulation. We generated expressing key proteins (CRYPTOCHROME1/2 (CRY1/2) PERIOD1/2...
The Singular Value Decomposition (SVD) is a powerful tool used for subspace division. In this paper novel approach speech signal enhancement presented which based on SVD and Genetic Algorithm (GA). method derived from the effects of environmental noises singular vectors as well values clean speech. This article reviews existing approaches estimation proposes techniques effectively enhancing noisy proposed clearly results in considerable attenuation noise retrieving quality original...
Gender classification is one of the most challenging problems in computer vision. Facial gender detection neonates and children also known as a highly demanding issue for human observers. This study proposes novel method using frontal facial images people. The proposed approach employs principal component analysis (PCA) fuzzy clustering technique, respectively, feature extraction steps. In other words, PCA applied to extract appropriate features from well reducing dimensionality data....
The combination of image analysis and superresolution microscopy methods allows for unprecedented insight into the organization macromolecular assemblies in cells. Advances deep learning (DL)-based object recognition enable automated processing large amounts data, resulting high accuracy through averaging. However, while highly symmetric structures constant size a resolution approaching dimensions structural biology, DL-based may introduce bias. This prohibits development readouts processes...
Abstract Brain function emerges from a highly complex network of specialized cells that are interlinked by billions synapses. The synaptic connectivity between neurons is established the elongated processes their axons and dendrites or, together, neurites. To establish these often far-reaching connections, cellular neurites have to grow in specialized, cell-type dependent patterns covering mm distances connecting with thousands other neurons. outgrowth branching tightly controlled during...
ABSTRACT The current model of the mammalian circadian oscillator is predominantly based on data from genetics and biochemistry experiments, while cell biology clocks still in its infancy. Here, we describe a new strategy for efficient generation knock-in reporter lines using CRISPR technology that particularly useful lowly or transiently expressed genes, such as those coding clock proteins. We generated single double cells with endogenously PER2 CRY1 fused to fluorescent proteins, which...
Research on remote sensing image classification approaches has gained momentum during the past decades, especially since availability of high resolution and multi/hyper-spectral imagery capabilities. The Maximum Likelihood (ML) based methods have been also extensively studied their effectiveness in this area is clear for researchers. presented paper dealing with a novel ML-based multi-spectral method which robustly developed to resist against huge amounts additive noises may infect remotely...
Summary Most mammalian cells possess molecular circadian clocks generating widespread rhythms, e.g. in transcript and protein abundance. While are robust to fluctuations the cellular environment, little is known about how period compensated for fluctuating metabolic states. Here, we exploit heterogeneity of single both state, governing stability, study their interdependence without need genetic manipulation. We generated expressing key proteins (CRY1/2 PER1/2) as endogenous fusions with...