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Luis Kuhn Cuellar
Luis Kuhn Cuellar
Bestätigte E-Mail-Adresse bei qbic.uni-tuebingen.de
Titel
Zitiert von
Zitiert von
Jahr
Visualizing the molecular sociology at the HeLa cell nuclear periphery
J Mahamid, S Pfeffer, M Schaffer, E Villa, R Danev, L Kuhn Cuellar, ...
Science 351 (6276), 969-972, 2016
5392016
Native architecture of the Chlamydomonas chloroplast revealed by in situ cryo-electron tomography
BD Engel, M Schaffer, L Kuhn Cuellar, E Villa, JM Plitzko, W Baumeister
elife 4, e04889, 2015
3512015
The eukaryotic CO2-concentrating organelle is liquid-like and exhibits dynamic reorganization
ESF Rosenzweig, B Xu, LK Cuellar, A Martinez-Sanchez, M Schaffer, ...
Cell 171 (1), 148-162. e19, 2017
3182017
PyTom: a python-based toolbox for localization of macromolecules in cryo-electron tomograms and subtomogram analysis
T Hrabe, Y Chen, S Pfeffer, LK Cuellar, AV Mangold, F Förster
Journal of structural biology 178 (2), 177-188, 2012
2242012
A data management infrastructure for the integration of imaging and omics data in life sciences
L Kuhn Cuellar, A Friedrich, G Gabernet, L de la Garza, S Fillinger, ...
BMC bioinformatics 23 (1), 61, 2022
212022
Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases
E Chatziioannou, J Roßner, TN Aung, DL Rimm, H Niessner, U Keim, ...
EBioMedicine 93, 2023
82023
The implementation of SDG12 in and from higher education institutions: universities as laboratories for generating sustainable cities
M Martínez-Acosta, P Vázquez-Villegas, LA Mejía-Manzano, ...
Frontiers in Sustainable Cities 5, 1158464, 2023
42023
Automated detection of polysomes in cryoelectron tomography
LK Cuellar, S Pfeffer, Y Chen, F Förster
2014 IEEE International Conference on Image Processing (ICIP), 2085-2089, 2014
32014
mlf-core: a framework for deterministic machine learning
L Heumos, P Ehmele, L Kuhn Cuellar, K Menden, E Miller, S Lemke, ...
Bioinformatics 39 (4), btad164, 2023
12023
nf-root: a best-practice pipeline for deep learning-based analysis of apoplastic pH in microscopy images of developmental zones in plant root tissue
J Wanner, LK Cuellar, L Rausch, KW Berendzen, F Wanke, G Gabernet, ...
bioRxiv, 2023.01. 16.524272, 2023
12023
mlf-core: a framework for deterministic machine learning
S Nahnsen, G Gabernet, S Lemke, E Miller, K Menden, LK Cuellar, ...
Bioinformatics 39 (4), 2023
2023
nf-root: a best-practice pipeline for deep learning-based analysis of apoplastic pH in microscopy images of developmental zones in plant root tissue
S Nahnsen, K Harter, G Gabernet, F Wanke, KW Berendzen, L Rausch, ...
bio Rxiv, 2023
2023
Geometric analysis of macromolecule organization within cryo-electron tomograms
LE Kuhn Cuellar
Technische Universität München, 2017
2017
A probabilistic algorithm for matching protein structures-and its application to detecting functionally relevant patterns
LE Kuhn Cuellar
Universität des Saarlandes Saabrücken, 2010
2010
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