Paul Müller
Paul Müller
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A pH-driven transition of the cytoplasm from a fluid-to a solid-like state promotes entry into dormancy
MC Munder, D Midtvedt, T Franzmann, E Nuske, O Otto, M Herbig, ...
elife 5, e09347, 2016
Cell nuclei have lower refractive index and mass density than cytoplasm
M Schürmann, J Scholze, P Müller, J Guck, CJ Chan
Journal of biophotonics 9 (10), 1068-1076, 2016
Mechanical mapping of spinal cord growth and repair in living zebrafish larvae by Brillouin imaging
R Schlüßler, S Möllmert, S Abuhattum, G Cojoc, P Müller, K Kim, C Möckel, ...
Biophysical journal 115 (5), 911-923, 2018
Three‐dimensional correlative single‐cell imaging utilizing fluorescence and refractive index tomography
M Schürmann, G Cojoc, S Girardo, E Ulbricht, J Guck, P Müller
Journal of biophotonics 11 (3), e201700145, 2018
PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy
P Müller, P Schwille, T Weidemann
Bioinformatics 30 (17), 2532-2533, 2014
The theory of diffraction tomography
P Müller, M Schürmann, J Guck
arXiv preprint arXiv:1507.00466, 2015
Standardized microgel beads as elastic cell mechanical probes
S Girardo, N Traeber, K Wagner, G Cojoc, C Herold, R Goswami, ...
Journal of Materials Chemistry B 6 (39), 6245-6261, 2018
Refractive index measurements of single, spherical cells using digital holographic microscopy
M Schürmann, J Scholze, P Müller, CJ Chan, AE Ekpenyong, KJ Chalut, ...
Methods in cell biology 125, 143-159, 2015
Intelligent image-based deformation-assisted cell sorting with molecular specificity
AA Nawaz, M Urbanska, M Herbig, M Nötzel, M Kräter, P Rosendahl, ...
Nature Methods 17 (6), 595-599, 2020
Statistics for real-time deformability cytometry: Clustering, dimensionality reduction, and significance testing
M Herbig, A Mietke, P Müller, O Otto
Biomicrofluidics 12 (4), 042214, 2018
Real-time deformability cytometry: label-free functional characterization of cells
M Herbig, M Kräter, K Plak, P Müller, J Guck, O Otto
Flow cytometry protocols, 347-369, 2018
ODTbrain: a Python library for full-view, dense diffraction tomography
P Müller, M Schürmann, J Guck
BMC bioinformatics 16 (1), 1-9, 2015
Single-cell mechanical phenotype is an intrinsic marker of reprogramming and differentiation along the mouse neural lineage
M Urbanska, M Winzi, K Neumann, S Abuhattum, P Rosendahl, P Müller, ...
Development 144 (23), 4313-4321, 2017
Droplet-assisted microfluidic fabrication and characterization of multifunctional polysaccharide microgels formed by multicomponent reactions
N Hauck, N Seixas, SP Centeno, R Schlüßler, G Cojoc, P Müller, J Guck, ...
Polymers 10 (10), 1055, 2018
Accurate evaluation of size and refractive index for spherical objects in quantitative phase imaging
P Müller, M Schürmann, S Girardo, G Cojoc, J Guck
Optics express 26 (8), 10729-10743, 2018
Single-cell diffraction tomography with optofluidic rotation about a tilted axis
P Müller, M Schürmann, CJ Chan, J Guck
Optical Trapping and Optical Micromanipulation XII 9548, 95480U, 2015
Scanning fluorescence correlation spectroscopy (SFCS) with a scan path perpendicular to the membrane plane
P Müller, P Schwille, T Weidemann
Fluorescence Spectroscopy and Microscopy, 635-651, 2014
Mechanical mapping of spinal cord development and repair in living zebrafish larvae using Brillouin microscopy
R Schlüßler, S Möllmert, S Abuhattum, G Cojoc, P Müller, K Kim, C Möckel, ...
bioRxiv, 181560, 2018
DryMass: handling and analyzing quantitative phase microscopy images of spherical, cell-sized objects
P Müller, G Cojoc, J Guck
BMC bioinformatics 21 (1), 1-8, 2020
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data
P Müller, S Abuhattum, S Möllmert, E Ulbricht, AV Taubenberger, J Guck
BMC bioinformatics 20 (1), 1-9, 2019
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