Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Hanno, Scharr"'
Autor:
Miguel Pato, Jim Buffat, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan Maier, Rupert Muller, Patrick Rademske, Uwe Rascher, Hanno Scharr
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18566-18576 (2024)
The successful operation of airborne and space-based spectrometers in recent years holds the promise to map solar-induced fluorescence (SIF) accurately across the globe. Machine learning (ML) can play an important role in this effort, but its applica
Externí odkaz:
https://doaj.org/article/25fa1da6f1dc4faeb86079d3589f0246
Autor:
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101638- (2024)
Automated microscopy techniques combined with high-throughput microfluidic cultivation systems provide unique insights into living microorganisms, enabling hundreds of experiments to be performed in parallel. Such setups generate large data sets with
Externí odkaz:
https://doaj.org/article/940a48668008476a86e40db4a5f2dfd8
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/3c22c6bbf0a24180a231987ee63caa3d
Autor:
Marco Hoffmann, Sven Gerlach, Masanari Takamiya, Samar Tarazi, Nils Hersch, Agnes Csiszár, Ronald Springer, Georg Dreissen, Hanno Scharr, Sepand Rastegar, Tanja Beil, Uwe Strähle, Rudolf Merkel, Bernd Hoffmann
Publikováno v:
Pharmaceutics, Vol 15, Iss 4, p 1210 (2023)
The efficient and biocompatible transfer of nucleic acids into mammalian cells for research applications or medical purposes is a long-standing, challenging task. Viral transduction is the most efficient transfer system, but often entails high safety
Externí odkaz:
https://doaj.org/article/09b2dbc7f9744aafa81e8f90d6398fd5
Autor:
Kerstin A. Nagel, Henning Lenz, Bernd Kastenholz, Frank Gilmer, Andreas Averesch, Alexander Putz, Kathrin Heinz, Andreas Fischbach, Hanno Scharr, Fabio Fiorani, Achim Walter, Ulrich Schurr
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-17 (2020)
Abstract Background Root system architecture and especially its plasticity in acclimation to variable environments play a crucial role in the ability of plants to explore and acquire efficiently soil resources and ensure plant productivity. Non-destr
Externí odkaz:
https://doaj.org/article/0486788664174509bb07a0f220be9a01
Autor:
Tim Scherr, Johannes Seiffarth, Bastian Wollenhaupt, Oliver Neumann, Marcel P Schilling, Dietrich Kohlheyer, Hanno Scharr, Katharina Nöh, Ralf Mikut
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0277601 (2022)
In biotechnology, cell growth is one of the most important properties for the characterization and optimization of microbial cultures. Novel live-cell imaging methods are leading to an ever better understanding of cell cultures and their development.
Externí odkaz:
https://doaj.org/article/f6279da0196f4b62b3bba708d46e2bfe
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-14 (2018)
Abstract Background Image-based plant phenotyping has become a powerful tool in unravelling genotype–environment interactions. The utilization of image analysis and machine learning have become paramount in extracting data stemming from phenotyping
Externí odkaz:
https://doaj.org/article/70d0507e3c0e4431ada59eaf176354ab
Autor:
Hanno Scharr, Christoph Briese, Patrick Embgenbroich, Andreas Fischbach, Fabio Fiorani, Mark Müller-Linow
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
Volume carving is a well established method for visual hull reconstruction and has been successfully applied in plant phenotyping, especially for 3d reconstruction of small plants and seeds. When imaging larger plants at still relatively high spatial
Externí odkaz:
https://doaj.org/article/6605fd849da34f19806d77a430c2938a
Autor:
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
Publikováno v:
bioRxiv 4 pp. (2022). doi:10.1101/2022.08.01.502297
SummaryReliable deep learning segmentation for microfluidic live-cell imaging requires comprehensive ground truth data. ObiWan-Microbi is a microservice platform combining the strength of state-of-the-art technologies into a unique integrated workflo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263f4c714841cdf7c782a6763f3de1bf
https://doi.org/10.1101/2022.08.01.502297
https://doi.org/10.1101/2022.08.01.502297
Autor:
Andreas Fischbach, Hanno Scharr, Henning Lenz, Fabio Fiorani, Frank Gilmer, Kerstin A. Nagel, Kathrin Heinz, Andreas Averesch, Ulrich Schurr, Achim Walter, Alexander Putz, Bernd Kastenholz
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-17 (2020)
Plant methods 16(1), 89 (2020). doi:10.1186/s13007-020-00631-3
Plant Methods
Plant methods 16(1), 89 (2020). doi:10.1186/s13007-020-00631-3
Plant Methods
Background Root system architecture and especially its plasticity in acclimation to variable environments play a crucial role in the ability of plants to explore and acquire efficiently soil resources and ensure plant productivity. Non-destructive me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bf4cc87f4f7cbdb8641cac9e4c92b28
http://link.springer.com/article/10.1186/s13007-020-00631-3
http://link.springer.com/article/10.1186/s13007-020-00631-3