Sökning: "Andreas Hellander"

Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Andreas Hellander.

1. 1. Numerical simulation of well stirred biochemical reaction networks governed by the master equation

   Författare :Andreas Hellander; Per Lötstedt; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Scientific Computing; Beräkningsvetenskap;

   Sammanfattning : Numerical simulation of stochastic biochemical reaction networks has received much attention in the growing field of computational systems biology. Systems are frequently modeled as a continuous-time discrete space Markov chain, and the governing equation for the probability density of the system is the (chemical) master equation. LÄS MER

3. 2. Multiscale Stochastic Simulation of Reaction-Transport Processes : Applications in Molecular Systems Biology

   Författare :Andreas Hellander; Per Lötstedt; Sverker Holmgren; Samuel Isaacson; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stochastic simulation; chemical master equation; reaction-diffusion master equation; unstructured mesh; active transport; hybrid methods; URDME; Scientific Computing; Beräkningsvetenskap;

   Sammanfattning : Quantitative descriptions of reaction kinetics formulated at the stochastic mesoscopic level are frequently used to study various aspects of regulation and control in models of cellular control systems. For this type of systems, numerical simulation offers a variety of challenges caused by the high dimensionality of the problem and the multiscale properties often displayed by the biochemical model. LÄS MER

4. 3. Multiscale Modeling in Systems Biology : Methods and Perspectives

   Författare :Adrien Coulier; Andreas Hellander; Mark Chaplain; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computational systems biology; high performance computing; Bayesian inference; stochastic simulation; cell mechanics; Scientific Computing; Beräkningsvetenskap;

   Sammanfattning : In the last decades, mathematical and computational models have become ubiquitous to the field of systems biology. Specifically, the multiscale nature of biological processes makes the design and simulation of such models challenging. LÄS MER

5. 4. Adapting Deep Learning for Microscopy: Interaction, Application, and Validation

   Författare :Ankit Gupta; Carolina Wählby; Ida-Maria Sintorn; Ola Spjuth; Andreas Hellander; Philip Kollmannsberger; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Microscopy; Human-in-the-Loop; Semi-Supervised Learning; Application-Specific Analysis; Image Classification; Image-to-Image Translation; Template Matching; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Microscopy is an integral technique in biology to study the fundamental components of life visually. Digital microscopy and automation have enabled biologists to conduct faster and larger-scale experiments with a sharp increase in the data generated. LÄS MER

7. 5. Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations

   Författare :Philip John Harrison; Ola Spjuth; Carolina Wählby; Andreas Hellander; Peter Horvath; Uppsala universitet; []
   Nyckelord :Deep Learning; Microscopy; Image Analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

   Sammanfattning : Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitously in basic cell biology, medical diagnosis and drug development. In recent years deep learning has shown impressive results for many image cytometry tasks, including image processing, segmentation, classification and detection. LÄS MER