The Experts below are selected from a list of 4485 Experts worldwide ranked by ideXlab platform
Michael W Davidson - One of the best experts on this subject based on the ideXlab platform.
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Searching the fluorescent protein Color Palette for new FRET pairs
Small Animal Whole-Body Optical Imaging Based on Genetically Engineered Probes, 2008Co-Authors: Kristin L. Hazelwood, Scott G Olenych, Ericka B. Ramko, Anna P. Ozarowska, Patrice N. Worthy, Amy Guan, Christopher S. Murphy, Michael W DavidsonAbstract:One of the most promising imaging techniques for monitoring dynamic protein interactions in living cells with optical microscopy, universally referred to as FRET, employs the non-radiative transfer of energy between two closely adjacent spectrally active molecules, often fluorescent proteins. The use of FRET in cell biology has expanded to such a degree that hundreds of papers are now published each year using biosensors to monitor a wide spectrum of intracellular processes. Most of these sensors sandwich an environmentally active peptide between cyan and yellow fluorescent protein (CFP and YFP) derivatives to assay variables such as pH, calcium ion concentration, enzyme activity, or membrane potential. The availability of these sensitive indicators is growing rapidly, but many are hampered by a low dynamic range that often is only marginally detectable over the system noise. Furthermore, extended periods of excitation at wavelengths below 500 nm have the potential to induce phototoxic effects that can mask or alter the biological events under observation. Recent success in expanding the fluorescent protein Color Palette offers the opportunity to explore new FRET partners that may be suitable for use in advanced biosensors.
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The fluorescent protein Color Palette.
Current protocols in cell biology, 2007Co-Authors: Scott G Olenych, Nathan S Claxton, Gregory K Ottenberg, Michael W DavidsonAbstract:Advances in fluorescent protein development over the past 10 years have led to fine-tuning of the Aequorea victoria jellyfish Color Palette in the emission Color range from blue to yellow, while a significant amount of progress has been achieved with reef coral species in the generation of monomeric fluorescent proteins emitting in the orange to far-red spectral regions. It is not inconceivable that near-infrared fluorescent proteins loom on the horizon. Expansion of the fluorescent protein family to include optical highlighters and FRET biosensors further arms this ubiquitous class of fluorophores with biological probes capable of photoactivation, photoconversion, and detection of molecular interactions beyond the resolution limits of optical microscopy. The success of these endeavors certainly suggests that almost any biological parameter can be investigated using the appropriate fluorescent protein-based application.
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Current Protocols in Cell Biology - The Fluorescent Protein Color Palette
Current Protocols in Cell Biology, 2007Co-Authors: Scott G Olenych, Nathan S Claxton, Gregory K Ottenberg, Michael W DavidsonAbstract:Advances in fluorescent protein development over the past 10 years have led to fine-tuning of the Aequorea victoria jellyfish Color Palette in the emission Color range from blue to yellow, while a significant amount of progress has been achieved with reef coral species in the generation of monomeric fluorescent proteins emitting in the orange to far-red spectral regions. It is not inconceivable that near-infrared fluorescent proteins loom on the horizon. Expansion of the fluorescent protein family to include optical highlighters and FRET biosensors further arms this ubiquitous class of fluorophores with biological probes capable of photoactivation, photoconversion, and detection of molecular interactions beyond the resolution limits of optical microscopy. The success of these endeavors certainly suggests that almost any biological parameter can be investigated using the appropriate fluorescent protein-based application.
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UNIT 21.5 The Fluorescent Protein Color Palette
Current Protocols in Cell Biology, 2006Co-Authors: Scott G Olenych, Nathan S Claxton, Gregory K Ottenberg, Michael W DavidsonAbstract:Advances in fluorescent protein development over the past 10 years have led to fine-tuning of the Aequorea victoria jellyfish Color Palette in the emission Color range from blue to yellow, while a significant amount of progress has been achieved with reef coral species in the generation of monomeric fluorescent proteins emitting in the orange to far-red spectral regions. It is not inconceivable that near-infrared fluorescent proteins loom on the horizon. Expansion of the fluorescent protein family to include optical highlighters and FRET biosensors further arms this ubiquitous class of fluorophores with biological probes capable of photoactivation, photoconversion, and detection of molecular interactions beyond the resolution limits of optical microscopy. The success of these endeavors certainly suggests that almost any biological parameter can be investigated using the appropriate fluorescent protein–based application. Keywords: GFP; fluorescent proteins; optical highlighters; biosensors; photoconversion; photoactivation; chromophore; fluorophore; FRET; FRAP; microscopy; confocal
K. Bhoopathy Bagan - One of the best experts on this subject based on the ideXlab platform.
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Efficient reordering algorithm for Color Palette image using adaptive particle swarm technique
Applied Soft Computing, 2012Co-Authors: P. Niraimathi, M. S. Sudhakar, K. Bhoopathy BaganAbstract:Palette re-ordering is a class of pre-processing methods aiming at finding a permutation of Color Palette such that the resulting image of indexes is more amenable for compression. The objective is to manipulate the Palette index such that the adjacent symbols are assigned close indices in the symbol space, thus enhancing the compressibility of the image with many lossless compressors. Finding an exact reordered Palette would certainly be exhaustive and computationally complex. To address this issue, a heuristic approach based on Traveling Salesman Problem formulation (NP hard) is sought. In this paper, the solution to this NP hard problem is presented by using an Adaptive Particle Swarm Optimization to achieve fast global convergence by maximizing the co-occurrences.
Ching-min Cheng - One of the best experts on this subject based on the ideXlab platform.
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Limited Color display for compressed image and video
IEEE Transactions on Circuits and Systems for Video Technology, 2000Co-Authors: Soo-chang Pei, Ching-min ChengAbstract:Many display devices nowadays still allow a limited number of Colors, called Color Palette, to be displayed simultaneously. Besides, images and videos in most World Wide Web databases are in compressed formats. Therefore, it becomes an important issue to retrieve a suitable Color Palette from compressed domain in order to have fast and faithful Color reproduction for these devices. In this paper, the Color Palette design methods for compressed images and videos are presented. The proposed approaches use the reduced, rather than the whole, image for the Color Palette design to avoid the heavy computation in image or video decompression. Also, for compressed videos, a shifting-window scheme is proposed to smooth out Color variations in the change of Color Palette. In these methods, we extend the dependent scalar quantization algorithm of a single image to accomplish the Color Palette design. Experimental results show that the output image quality of the proposed methods is acceptable to human eyes. In addition, empirical results show that the proposed shifting-window scheme can reduce the main problem of displaying quantized image sequences, screen flicker.
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Dependent scalar quantization of Color images
IEEE Transactions on Circuits and Systems for Video Technology, 1995Co-Authors: Soo-chang Pei, Ching-min ChengAbstract:Many image display devices can allow only a limited number of Colors, called Color Palette, to be simultaneously displayed. In order to have a faithful Color reproduction of an image, the associated Color Palette must be suitably designed. This paper presents a dependent scalar quantization algorithm to design the Color Palette effectively. The dependent scalar quantization algorithm consists of two procedures, bit allocation and recursive binary moment preserving thresholding. The experimental results show that the dependent scalar quantization can reduce the computation complexity and its output images quality is acceptable to the human eyes. A rule of the quantization order is also deduced under the MSE criterion to obtain a dependent scalar quantizer which has as good a performance as compared with some other algorithms. In addition, an adaptive neighborhood-clustering algorithm, which searches the neighboring Color indices of input pixels iteratively, is proposed to further improve the performance of the dependent scalar quantization algorithm. Finally, we introduce a Color mapping method to reduce the contouring effect when the Color Palette size generated by the dependent scalar quantizer is small. >
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ISCAS - Limited Color display for compressed video
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 1Co-Authors: Ching-min Cheng, Soo-chang PeiAbstract:Many display devices now allow a number of Colors, called Color Palette, to be displayed simultaneously. Besides, images and videos in most world wide web (WWW) databases are in compressed formats. Therefore, it becomes an important issue to retrieve a suitable Color Palette from compressed domain in order to have fast and faithful Color reproduction for these devices. In this paper, the Color Palette design methods for compressed videos are presented. The proposed approaches use the reduced image rather than the whole image for the Color Palette design to avoid the heavy computation in video decompression. Experimental results show that output image quality of proposed methods is acceptable, to human eyes. In addition, empirical results show that the proposed shifting window scheme can reduce the main problem of displaying quantized image sequences and screen flicker.
Scott G Olenych - One of the best experts on this subject based on the ideXlab platform.
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Searching the fluorescent protein Color Palette for new FRET pairs
Small Animal Whole-Body Optical Imaging Based on Genetically Engineered Probes, 2008Co-Authors: Kristin L. Hazelwood, Scott G Olenych, Ericka B. Ramko, Anna P. Ozarowska, Patrice N. Worthy, Amy Guan, Christopher S. Murphy, Michael W DavidsonAbstract:One of the most promising imaging techniques for monitoring dynamic protein interactions in living cells with optical microscopy, universally referred to as FRET, employs the non-radiative transfer of energy between two closely adjacent spectrally active molecules, often fluorescent proteins. The use of FRET in cell biology has expanded to such a degree that hundreds of papers are now published each year using biosensors to monitor a wide spectrum of intracellular processes. Most of these sensors sandwich an environmentally active peptide between cyan and yellow fluorescent protein (CFP and YFP) derivatives to assay variables such as pH, calcium ion concentration, enzyme activity, or membrane potential. The availability of these sensitive indicators is growing rapidly, but many are hampered by a low dynamic range that often is only marginally detectable over the system noise. Furthermore, extended periods of excitation at wavelengths below 500 nm have the potential to induce phototoxic effects that can mask or alter the biological events under observation. Recent success in expanding the fluorescent protein Color Palette offers the opportunity to explore new FRET partners that may be suitable for use in advanced biosensors.
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The fluorescent protein Color Palette.
Current protocols in cell biology, 2007Co-Authors: Scott G Olenych, Nathan S Claxton, Gregory K Ottenberg, Michael W DavidsonAbstract:Advances in fluorescent protein development over the past 10 years have led to fine-tuning of the Aequorea victoria jellyfish Color Palette in the emission Color range from blue to yellow, while a significant amount of progress has been achieved with reef coral species in the generation of monomeric fluorescent proteins emitting in the orange to far-red spectral regions. It is not inconceivable that near-infrared fluorescent proteins loom on the horizon. Expansion of the fluorescent protein family to include optical highlighters and FRET biosensors further arms this ubiquitous class of fluorophores with biological probes capable of photoactivation, photoconversion, and detection of molecular interactions beyond the resolution limits of optical microscopy. The success of these endeavors certainly suggests that almost any biological parameter can be investigated using the appropriate fluorescent protein-based application.
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Current Protocols in Cell Biology - The Fluorescent Protein Color Palette
Current Protocols in Cell Biology, 2007Co-Authors: Scott G Olenych, Nathan S Claxton, Gregory K Ottenberg, Michael W DavidsonAbstract:Advances in fluorescent protein development over the past 10 years have led to fine-tuning of the Aequorea victoria jellyfish Color Palette in the emission Color range from blue to yellow, while a significant amount of progress has been achieved with reef coral species in the generation of monomeric fluorescent proteins emitting in the orange to far-red spectral regions. It is not inconceivable that near-infrared fluorescent proteins loom on the horizon. Expansion of the fluorescent protein family to include optical highlighters and FRET biosensors further arms this ubiquitous class of fluorophores with biological probes capable of photoactivation, photoconversion, and detection of molecular interactions beyond the resolution limits of optical microscopy. The success of these endeavors certainly suggests that almost any biological parameter can be investigated using the appropriate fluorescent protein-based application.
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UNIT 21.5 The Fluorescent Protein Color Palette
Current Protocols in Cell Biology, 2006Co-Authors: Scott G Olenych, Nathan S Claxton, Gregory K Ottenberg, Michael W DavidsonAbstract:Advances in fluorescent protein development over the past 10 years have led to fine-tuning of the Aequorea victoria jellyfish Color Palette in the emission Color range from blue to yellow, while a significant amount of progress has been achieved with reef coral species in the generation of monomeric fluorescent proteins emitting in the orange to far-red spectral regions. It is not inconceivable that near-infrared fluorescent proteins loom on the horizon. Expansion of the fluorescent protein family to include optical highlighters and FRET biosensors further arms this ubiquitous class of fluorophores with biological probes capable of photoactivation, photoconversion, and detection of molecular interactions beyond the resolution limits of optical microscopy. The success of these endeavors certainly suggests that almost any biological parameter can be investigated using the appropriate fluorescent protein–based application. Keywords: GFP; fluorescent proteins; optical highlighters; biosensors; photoconversion; photoactivation; chromophore; fluorophore; FRET; FRAP; microscopy; confocal
P. Niraimathi - One of the best experts on this subject based on the ideXlab platform.
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Efficient reordering algorithm for Color Palette image using adaptive particle swarm technique
Applied Soft Computing, 2012Co-Authors: P. Niraimathi, M. S. Sudhakar, K. Bhoopathy BaganAbstract:Palette re-ordering is a class of pre-processing methods aiming at finding a permutation of Color Palette such that the resulting image of indexes is more amenable for compression. The objective is to manipulate the Palette index such that the adjacent symbols are assigned close indices in the symbol space, thus enhancing the compressibility of the image with many lossless compressors. Finding an exact reordered Palette would certainly be exhaustive and computationally complex. To address this issue, a heuristic approach based on Traveling Salesman Problem formulation (NP hard) is sought. In this paper, the solution to this NP hard problem is presented by using an Adaptive Particle Swarm Optimization to achieve fast global convergence by maximizing the co-occurrences.