Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Shajkofci, Adrian"'
Autor:
Egli, Thomas, Campostrini, Lena, Leifels, Mats, Füchslin, Hans Peter, Kolm, Claudia, Dan, Cheng, Zimmermann, Stefan, Hauss, Vivian, Guiller, Alexandre, Grasso, Luigino, Shajkofci, Adrian, Farnleitner, Andreas H., Kirschner, Alexander K.T.
Publikováno v:
In Water Research 1 April 2024 253
Autor:
Shajkofci, Adrian, Liebling, Michael
Optical flow is a method aimed at predicting the movement velocity of any pixel in the image and is used in medicine and biology to estimate flow of particles in organs or organelles. However, a precise optical flow measurement requires images taken
Externí odkaz:
http://arxiv.org/abs/2102.07228
Autor:
Shajkofci, Adrian, Liebling, Michael
Publikováno v:
IEEE Transactions on Image Processing, vol. 29, pp. 5848-5861, 2020
Optical microscopy is an essential tool in biology and medicine. Imaging thin, yet non-flat objects in a single shot (without relying on more sophisticated sectioning setups) remains challenging as the shallow depth of field that comes with high-reso
Externí odkaz:
http://arxiv.org/abs/2010.04011
Autor:
Shajkofci, Adrian, Liebling, Michael
Publikováno v:
Photoniques 104 2020
In microscopy, the time burden and cost of acquiring and annotating large datasets that many deep learning models take as a prerequisite, often appears to make these methods impractical. Can this requirement for annotated data be relaxed? Is it possi
Externí odkaz:
http://arxiv.org/abs/2010.03988
Autor:
Shajkofci, Adrian, Liebling, Michael
Publikováno v:
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
Autofocus (AF) methods are extensively used in biomicroscopy, for example to acquire timelapses, where the imaged objects tend to drift out of focus. AD algorithms determine an optimal distance by which to move the sample back into the focal plane. C
Externí odkaz:
http://arxiv.org/abs/2001.00667
Autor:
Shajkofci, Adrian, Liebling, Michael
Publikováno v:
2018 25th IEEE International Conference on Image Processing (ICIP)
We present a semi-blind, spatially-variant deconvolution technique aimed at optical microscopy that combines a local estimation step of the point spread function (PSF) and deconvolution using a spatially variant, regularized Richardson-Lucy algorithm
Externí odkaz:
http://arxiv.org/abs/1803.07452
Akademický článek
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Autor:
Gardeux, Vincent, David, Fabrice P A., Shajkofci, Adrian, Schwalie, Petra C., Deplancke, Bart, Stegle, Oliver
Motivation Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of thousands of individual cells, enabling the molecular exploration of tissues at the cellular level. Such analytical capacity is of great interest to many resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______805::9da34dc6b3a4f46405f74d9e512c8e95
http://doc.rero.ch/record/333002/files/BIOINFORMATICS_33_19_3123.pdf
http://doc.rero.ch/record/333002/files/BIOINFORMATICS_33_19_3123.pdf
Autor:
Shajkofci, Adrian
Optical microscopy, an invaluable tool in biology and medicine to observe and quantify cellular function, organ development, or disease mechanisms, requires constant trade-offs between spatial, temporal, and spectral resolution, invasiveness, acquisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67df5ae135cdb891599d098bee53683a
Akademický článek
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