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The reflective layers on Nexterion® HiSens significantly enhance sensitivity and signal response. The characteristics of the reflective layers have been optimized for the fluorescent wavelengths most commonly used in microarray experiments, and will simultaneously improve the performance in both the Cy3™ and Cy5™ channels. The slide is produced according to industry standard slide dimensions and is available with SCHOTT’s standard high quality functional coatings for DNA and protein microarraying. This means that the Nexterion® HiSens Slide is fully compatible with all microarray printing technologies and most slide processing protocols, allowing customers a smooth transition from industry-standard transparent microarray slides.
SCHOTT NEXTERION® HiSens optical coating for high sensitive microarray analysis
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Effect of Detergent Concentration and Type when printing oligo microarrays on Epoxy Coated NEXTERION® Slide E
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Perkin Elmer HydroGel slide and the SCHOTT alternative (Slide H)
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Many researchers still use aminosilane coated slides for microarray production by immobilizing the DNA probes on the surface via ionic interactions. However, epoxysilane coated slides, which allow to link probes covalently, becoming more and more accepted. The aim of this study was to compare both slides in their performance by using oligonucleotides (probe and target) as test system. We wanted to discover if there is a difference between both surfaces in terms of I) Binding capacity and signal intensity, II) Binding specificity, III) Background performance IV) Reproducibility. We used NEXTERION Slide E (epoxy) and NEXTERION Slide A+ (aminosilane) which are produced using identical production processes and analogous silanes. Therefore, these two slides types represent a suitable model to investigate the questions asked. In addition, epoxy and amine slides from other suppliers were included into the test. We discuss how these differences affect the degree of discrimination and specificity of microarray based experiments.
Epoxy silane (NEXTERION Slide E) versus Amino-silane Microarray Slides: Which...
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The reflective layers on Nexterion® HiSens significantly enhance sensitivity and signal response. The characteristics of the reflective layers have been optimized for the fluorescent wavelengths most commonly used in microarray experiments, and will simultaneously improve the performance in both the Cy3™ and Cy5™ channels. The slide is produced according to industry standard slide dimensions and is available with SCHOTT’s standard high quality functional coatings for DNA and protein microarraying. This means that the Nexterion® HiSens Slide is fully compatible with all microarray printing technologies and most slide processing protocols, allowing customers a smooth transition from industry-standard transparent microarray slides.
SCHOTT NEXTERION® HiSens optical coating for high sensitive microarray analysis
SCHOTT NEXTERION® HiSens optical coating for high sensitive microarray analysis
SCHOTT
Effect of Detergent Concentration and Type when printing oligo microarrays on Epoxy Coated NEXTERION® Slide E
Effect of Detergent Concentration and Type when printing on Epoxy Coated NEXT...
Effect of Detergent Concentration and Type when printing on Epoxy Coated NEXT...
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Newsletter May 2009 Contents • OEM coated coverslips • Diagnostic microarray based applications • News and Exhibition calendar
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Perkin Elmer HydroGel slide and the SCHOTT alternative (Slide H)
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Many researchers still use aminosilane coated slides for microarray production by immobilizing the DNA probes on the surface via ionic interactions. However, epoxysilane coated slides, which allow to link probes covalently, becoming more and more accepted. The aim of this study was to compare both slides in their performance by using oligonucleotides (probe and target) as test system. We wanted to discover if there is a difference between both surfaces in terms of I) Binding capacity and signal intensity, II) Binding specificity, III) Background performance IV) Reproducibility. We used NEXTERION Slide E (epoxy) and NEXTERION Slide A+ (aminosilane) which are produced using identical production processes and analogous silanes. Therefore, these two slides types represent a suitable model to investigate the questions asked. In addition, epoxy and amine slides from other suppliers were included into the test. We discuss how these differences affect the degree of discrimination and specificity of microarray based experiments.
Epoxy silane (NEXTERION Slide E) versus Amino-silane Microarray Slides: Which...
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Details about the barcodes and custom logos SCHOTT can apply to borosilicate glass microarray slides.
NEXTERION® Microarray slides with barcodes and custom logos from SCHOTT
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Compatibility of DMSO spotting buffers with SCHOTT Nexterion Epoxy-silane coated microarray slides. Effect of using different spotting pins and DMSO concentrations.
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Choosing the best slide coating chemistry for your protein micro-array application. Poster presented at the Advances in Microarray Technology 2008 conference in Barcelona, Spain.
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SCHOTT Nexterion Slide H is a slide surface ideally suited for the printing of protein microarrays, as it is ideally suited for the covalent immobilization of peptides and proteins such as antibodies, antibody fragments, enzymes, or receptors. For many protein microarray applications Nexterion® Slide H has proven to be a very attractive alternative to the commonly used nitrocellulose coated slide, especially where low background, or slide transparency are important considerations. Since its introduction, the slide coating has also been successfully used with amino-modified oligonucleotides, and has become the slide of choice for printing amino-linked glycan microarrays. Carbohydrate arrays are a rapidly growing area of microarray research and Nexterion® Slide H is an excellent choice for use in the rapid screening of carbohydrateprotein interactions. The permeable, polymer coating has a large immobilization capacity, and helps to preserve the native three-dimensional structure of complex bio-molecules, thus maintaining conformation and functionality. Nexterion® Slide H produces excellent signal-to-background ratios and an exceptionally wide dynamic range compared to conventional “two-dimensional” coatings through a unique combination of low non-specific binding characteristics, and high probe loading capacity. Even very low intensity signals, such as those obtained from low-abundance analytes, or weakly expressed genes can be reliably detected and quantified on Nexterion® Slide H. The robust coating matrix is fully compatible with commercial microarray printers and scanners. Simple and robust protocols are available making Nexterion® Slide H easy-to-use.
SCHOTT Nexterion Slide H poster presented at PepTalk 2004
SCHOTT Nexterion Slide H poster presented at PepTalk 2004
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SCHOTT Nexterion Micro-array Glass Substrates Presentation
SCHOTT Nexterion Micro-array Glass Substrates Presentation
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SCHOTT Nexterion® Glass B microarray slides are manufactured from BOROFLOAT® 33 a very flat borosilicate glass. The glass is ideally suited to microarray and other life science applications as the glass is non-toxic and has extremely low auto-fluorescence.
SCHOTT Nexterion® Glass B surface flatness
SCHOTT Nexterion® Glass B surface flatness
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Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
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SCHOTT Nexterion Slide H is a slide surface ideally suited for the printing of protein microarrays, as it is ideally suited for the covalent immobilization of peptides and proteins such as antibodies, antibody fragments, enzymes, or receptors. For many protein microarray applications Nexterion® Slide H has proven to be a very attractive alternative to the commonly used nitrocellulose coated slide, especially where low background, or slide transparency are important considerations. Since its introduction, the slide coating has also been successfully used with amino-modified oligonucleotides, and has become the slide of choice for printing amino-linked glycan microarrays. Carbohydrate arrays are a rapidly growing area of microarray research and Nexterion® Slide H is an excellent choice for use in the rapid screening of carbohydrateprotein interactions. The permeable, polymer coating has a large immobilization capacity, and helps to preserve the native three-dimensional structure of complex bio-molecules, thus maintaining conformation and functionality. Nexterion® Slide H produces excellent signal-to-background ratios and an exceptionally wide dynamic range compared to conventional “two-dimensional” coatings through a unique combination of low non-specific binding characteristics, and high probe loading capacity. Even very low intensity signals, such as those obtained from low-abundance analytes, or weakly expressed genes can be reliably detected and quantified on Nexterion® Slide H. The robust coating matrix is fully compatible with commercial microarray printers and scanners. Simple and robust protocols are available making Nexterion® Slide H easy-to-use.
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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
Tata AIG General Insurance Company - Insurer Innovation Award 2024
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Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
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writing some innovation for development and search
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Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
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