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Elnaz Fazeli

Researcher at University of Turku

Publications -  17
Citations -  307

Elnaz Fazeli is an academic researcher from University of Turku. The author has contributed to research in topics: Biology & Software. The author has an hindex of 7, co-authored 14 publications receiving 196 citations. Previous affiliations of Elnaz Fazeli include Åbo Akademi University.

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Ratiometric Sensing and Imaging of Intracellular pH Using Polyethylenimine-Coated Photon Upconversion Nanoprobes

TL;DR: This upconversion nanoparticle resonance energy transfer based sensor with polyethylenimine-coating provides high colloidal stability, enhanced cellular uptake, and distribution across cellular compartments and is well suited for detection of pH changes in in vitro models with high biological background fluorescence and in in vivo applications, e.g., for the bioimaging of small animal models.
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Image Quality Ranking Method for Microscopy.

TL;DR: A simple method and a software tool for sorting images within a dataset, according to their relative quality, and how this method can be applied to eliminate useless out-of-focus images in a High-Content-Screening experiment is proposed.
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Automated cell tracking using StarDist and TrackMate.

TL;DR: A detailed analysis pipeline is provided illustrating how the deep learning network StarDist can be combined with the popular tracking software TrackMate to perform 2D automated cell tracking and provide fully quantitative readouts.
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Sphingolipids inhibit vimentin-dependent cell migration.

TL;DR: It is demonstrated, by using wild-type and vimentin-knockout mouse embryonic fibroblasts, that the sphingolipid-mediated inhibition of migration is dependent on vimentsin, implying that this newly discovered sphingoipid–vimentin signalling axis exerts brake-and-throttle functions in the regulation of cell migration.
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QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Glyn Nelson, +99 more
TL;DR: The QUAREP-LiMi initiative as mentioned in this paper aims to improve the overall quality and reproducibility of light microscope image data by introducing broadly accepted standard practices and accurately captured image data metrics.