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Showing result 1 - 5 of 71 essays matching the above criteria.

  1. 1. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation

    University essay from Blekinge Tekniska Högskola

    Author : Abhinav Chitta; [2024]
    Keywords : ;

    Abstract : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. READ MORE

  3. 2. Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMS

    University essay from Uppsala universitet/Analytisk kemi

    Author : Maryam Dost; [2024]
    Keywords : Mass spectroscopy imaging; AstraZeneca; Nanosims; Therapeutics; pharmacokinetics; pharmacodynamics; Quantitative Visualization; calibration curve; RSF; pharmacology; Data Analysis; Chemistry; Quantification; isotopes; Pharmaceuticals; subcellular; drug; drug target; nucleotide; biodistribution; Bioanalytical electrochemistry; spectroscopy; mass spectrometry; analytical separations; Analytical Chemistry; ROI; Bioanalytical Chemistry; Masspektroskopi avbildning; AstraZeneca; Nanosims; Terapeutik; farmakokinetik; farmakodynamik; Kvantitativ visualisering; kalibreringskurva; RSF; farmakologi; Dataanalys; Kemi; Kvantifiering; isotoper; Läkemedel; subcellulär; läkemedel; läkemedelsmål; bioskopisk elektrofördelning; nukleotid; bioskopisk bioskopisk distribution; masspektrometri; analytiska separationer; analytisk kemi; bioanalytisk kemi;

    Abstract : Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. READ MORE

  4. 3. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Vivian Wang; Lidia Yalew; [2023-10-19]
    Keywords : Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

    Abstract : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. READ MORE

  5. 4. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    University essay from Lunds universitet/Centrum för analys och syntes

    Author : Sara Forsberg; [2023]
    Keywords : High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Abstract : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. READ MORE

  6. 5. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Alex Peschel; [2023]
    Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

    Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE