Fluorescence nanoscopy. Methods and applications

J Requejo-Isidro - Journal of chemical biology, 2013 - Springer
Fluorescence nanoscopy refers to the experimental techniques and analytical methods used
for fluorescence imaging at a resolution higher than conventional, diffraction-limited …

(Machine-) Learning to analyze in vivo microscopy: Support vector machines

MFZ Wang, R Fernandez-Gonzalez - Biochimica Et Biophysica Acta (BBA) …, 2017 - Elsevier
The development of new microscopy techniques for super-resolved, long-term monitoring of
cellular and subcellular dynamics in living organisms is revealing new fundamental aspects …

Combining wide-field super-resolution microscopy and electron tomography: rendering nanoscopic correlative arrays on subcellular architecture

F Braet, D Cheng, M Huynh, J Henriquez, G Shami… - Methods in Cell …, 2014 - Elsevier
In this chapter, the authors outline in full detail, an uncomplicated approach that enables the
combination of wide-field fluorescence super-resolution microscopy with electron …

[PDF][PDF] MIE498-Thesis Development of an Integrated System for Characterization of Artificial Muscles

P Cuvin, M Duduta - 2023 - mie.utoronto.ca
Dielectric elastomer actuators are constructed from an elastomer or other compliant material
sandwiched between two electrodes, with high potential for applications as artificial muscles …

[PDF][PDF] Generative Models for Super-Resolution Single Molecule Microscopy Images of Biological Structures

S Maji - Lane Center for Computational Biology …, 2009 - reports-archive.adm.cs.cmu.edu
The ultimate objective of any biological imaging method is to understand the underlying
biology especially through observing, analyzing and understanding the structures …

Bayesian generative learning of brain and spinal cord templates from neuroimaging datasets

C Blaiotta - 2017 - discovery.ucl.ac.uk
In the field of neuroimaging, Bayesian modelling techniques have been largely adopted and
recognised as powerful tools for the purpose of extracting quantitative anatomical and …

[PDF][PDF] Computational Image Analysis Techniques for Super-resolution Localization Microscopy

KCJ Chen - 2015 - kilthub.cmu.edu
Super-resolution microscopy techniques, which overcome the diffraction limit of optical
microscopy, are revolutionizing biological research by providing the ability to localize …