Physics of Life · Saarland University

The physics of the
red blood cell

Doctoral researcher in experimental soft-matter and biological physics at Saarland University. I study the mechanics, flow and aggregation of red blood cells, from single cells to dense suspensions, using in vivo microscopy, image analysis and physical modelling.

Publications Curriculum Vitae
Reconstructed 3D red blood cell shapes with shadows: stomatocyte, discocyte, spherocyte and echinocyte
Reconstructed red-cell shapes across the stomatocyte to echinocyte axis, from confocal image stacks.
01 · About
POSITIONDoctoral researcher
GROUPAG Wagner, Saarland University
BASEDSaarbrücken, DE
BORN1996, Neunkirchen

Background

Since 2022 I have been working towards a doctorate (Dr. rer. nat.) in the group of Prof. Christian Wagner at Saarland University. My Master's thesis dealt with the sedimentation of erythrocytes in colloidal-silica density gradients. My current work covers detection and tracking pipelines for microscopy data, 2D/3D image segmentation, shape analysis, and models of how red cells move, deform and aggregate.

The position is funded by a Young Investigator Grant awarded to Dr. Alexis Darras. In 2025 the work received the Best Poster Award at the Annual European Rheology Conference (AERC) in Lyon.

MATLAB Python C++ / CUDA Image analysis Embedded systems
Collaborating institutions
Saarland University
Universitätsklinikum des Saarlandes
University of Luxembourg
University of Bristol
University of Bayreuth
University of Zürich
Université Grenoble Alpes
Université Claude Bernard Lyon 1
Sorbonne Université — Station Biologique de Roscoff (CNRS)
Università di Pavia
University of Göttingen
KU Leuven
Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan
Nanion Technologies (industry partner)
Funding
Deutsche Forschungsgemeinschaft (DFG)
European Union — Horizon 2020 / Marie Skłodowska-Curie Actions
VolkswagenStiftung
Agence Nationale de la Recherche (ANR)
02 · Research

Selected projects

Figures are taken from the respective studies; references are given below each project.

Multichannel intravital microscopy of white blood cells in a microvessel
Intravital microscopy: white blood cells moving through a microvessel.
Flow and geometry analysis at a vessel bifurcation with velocity histograms
Bifurcation flow and geometry analysis: healthy versus rigid cells.
i.

Blood cells in vivo: tracking at vessel bifurcations

Detection and tracking pipelines for intravital microscopy. White blood cells are classified as rolling or flowing along the vessel wall and followed through bifurcations. In a second study, healthy and artificially rigidified red cells are compared at vessel junctions: rigid cells spend less time at the branch apex, which changes how blood is partitioned between the daughter vessels. This is relevant to diseases with stiffened red cells, such as malaria and sickle-cell disease. My contribution: video processing, tracking pipeline, data analysis, statistics and figures.

White blood cells: ongoing investigations with Khadija Larhrissi, AG Wagner.
Rigid versus healthy red cells: Rashidi*, Maurer*, Wrublewsky*, Larhrissi, John, Gidley, Toye, Kaestner, Wagner, Laschke, Darras. Biophysical Journal (2026). doi:10.1016/j.bpj.2026.03.023

Time series of red blood cell sedimentation in tubes with intensity profiles
Red-cell sedimentation over time in a density gradient, with the resulting intensity profiles.
ii.

Band patterns in density gradients

Centrifuged red cells settle into discrete bands, which were long interpreted as evidence of discontinuous cell ageing. Using a continuity equation that includes aggregation, we showed that the bands result from a competition between cell aggregation and net buoyancy. Related work explains the bands in classic Percoll gradients and the resulting limits of age separation.

Maurer, Romero, Lerch, John, Kaestner, Wagner, Darras. PNAS 122(51), e2515704122 (2025). doi:10.1073/pnas.2515704122

Triangulated 3D surface mesh of a red blood cell
Triangulated cell surface from a confocal stack, used for curvature-flow analysis.
PCA scatter of red blood cell shape classes
Shape classes separated in principal-component space.
iii.

3D phenotyping of red-cell shape

Cell surfaces from confocal and STED stacks are smoothed by Willmore curvature flow and decomposed into spherical harmonics, which places each cell on the stomatocyte–discocyte–echinocyte axis. A random-forest classifier reaches 92% accuracy on 730 cells and separates shape changes that are difficult to distinguish by eye. Developed together with Nikolas Lerch.

Building on the 3D red-cell phenotyping of Simionato, Quint et al. AG Wagner, Saarland University.

Further projects
RBC density versus osmolality

Cytosol viscosity and density

Buoyant-density centrifugation gives the density distribution of red cells and, via the relation between cytosol viscosity and density, their intracellular viscosity. The results provide single-cell parameters for blood-flow models.

John, Kretsch, Maurer, Recktenwald, Kaestner, Wagner. Biophysical Journal 124(16) (2025). doi:10.1016/j.bpj.2025.07.002

Yoda1 and Yoda2 dose-response curves

Piezo1 activators: Yoda1 vs Yoda2

Automated patch clamp and calcium imaging are used to compare how the chemical activators Yoda1 and Yoda2 open the mechanosensitive Piezo1 channel in red cells.

Qiao, Penttinen, Coli, Murciano, Maurer, Wagner, Rotordam, Kaestner. Biomolecules 15(8), 1110 (2025). doi:10.3390/biom15081110

Experiment versus simulation of red blood cell shape dynamics over time

Red-cell shapes in time-dependent capillary flow

In capillary flow, red cells adopt either a symmetric croissant or an off-centred slipper shape. Under time-dependent flow, the croissant-to-slipper transition is considerably faster than the reverse and depends on the flow ramp rate. Cells were tracked in a co-moving frame using a custom PID-controlled microscope stage.

Recktenwald*, Graessel*, Maurer, John, Gekle, Wagner. Biophysical Journal 121(1) (2022). doi:10.1016/j.bpj.2021.12.009

Fluo-4 calcium histogram: sickle red cells shift into the high-calcium range after THC

THC and sickle red cells

Δ⁹-THC activates cation channels in red cells, which raises intracellular calcium and leads to dehydration and shape change. After THC exposure, a large fraction of sickle cells shifts into the high-calcium range, suggesting that cannabis use may be harmful in sickle-cell disease.

Hatem*, Esperti*, Murciano*, Qiao*, … Maurer, … Egée. American Journal of Hematology 98(12) (2023). doi:10.1002/ajh.27109

Micrographs and data collapse of a drying red-cell droplet

Deposits of drying blood droplets

Drying droplets usually leave a ring-shaped deposit (coffee-ring effect). At low red-cell concentration, the deposit instead grows from a central edge. This growth is quantified via interface growth and roughness scaling, with potential use in blood-drop diagnostics.

Sardari, Mohammadian, Asfia, Maurer, Örüm, … Darras. J. Colloid Interface Sci. 679(A) (2025). doi:10.1016/j.jcis.2024.10.039

3D reconstruction of a percolating cluster of red blood cells

Red-cell aggregation and gel formation

Ongoing work: optical-tweezers measurements of the attraction between two cells are used to derive a pair-interaction potential, which enters a percolation model of aggregated blood as a gel.

Ongoing, with K. Korneev and C. Haessig, AG Wagner. 3D reconstruction and recording of the cells shown by C. Haessig.

03 · Publications

Peer-reviewed articles

* equal contribution
2026Impact of red blood cell rigidity on in vivo flow dynamics and lingering in bifurcations
Rashidi*, Maurer*, Wrublewsky*, Larhrissi, John, Gidley, Toye, Kaestner, Wagner, Laschke, Darras
Biophysical Journal · doi:10.1016/j.bpj.2026.03.023
DOI ↗
2025Band pattern formation of erythrocytes in density gradients is due to competing aggregation and net buoyancy
Maurer, Romero, Lerch, John, Kaestner, Wagner, Darras
PNAS 122(51), e2515704122 · doi:10.1073/pnas.2515704122
DOI ↗
2025Viscosity and density measurements on the cytosol of human red blood cells
John, Kretsch, Maurer, Recktenwald, Kaestner, Wagner
Biophysical Journal 124(16), 2668-2676 · doi:10.1016/j.bpj.2025.07.002
DOI ↗
2025Piezo1 channel activators Yoda1 and Yoda2 in the context of red blood cells
Qiao, Penttinen, Coli, Murciano, Maurer, Wagner, Rotordam, Kaestner
Biomolecules 15(8), 1110 · doi:10.3390/biom15081110
DOI ↗
2025Deposit of red blood cells at low concentrations in evaporating droplets is dominated by a central edge growth
Sardari, Mohammadian, Asfia, Maurer, Örüm, Seemann, John, Kaestner, Wagner, Maleki, Darras
J. Colloid Interface Sci. 679(A), 939-946 · doi:10.1016/j.jcis.2024.10.039
DOI ↗
2023Adverse effects of Δ⁹-tetrahydrocannabinol on sickle red blood cells
Hatem*, Esperti*, Murciano*, Qiao*, Rotordam, Becker, Nader, Maurer, Pérès, Bouyer, Kaestner, Connes, Egée
American Journal of Hematology 98(12), E383-E386 · doi:10.1002/ajh.27109
DOI ↗
2022Continuous Percoll gradient centrifugation of erythrocytes: explanation of cellular bands and compromised age separation
Maurer, John, Makhro, Bogdanova, Minetti, Wagner, Kaestner
Cells 11(8), 1296 · doi:10.3390/cells11081296
DOI ↗
2022Red blood cell shape transitions and dynamics in time-dependent capillary flows
Recktenwald*, Graessel*, Maurer, John, Gekle, Wagner
Biophysical Journal 121(1), 23-36 · doi:10.1016/j.bpj.2021.12.009
DOI ↗

Additional manuscripts in preparation. Full list on ORCID. Ad hoc reviewer (2023), Scandinavian Journal of Clinical & Laboratory Investigation.

04 · Software & Teaching

Software

Research pipelines and teaching software, available on github.com/FelixMaurer.

Research tools
RedPatterns: CUDA simulation of red blood cell band-pattern formation RBCsInBifurcations: in vivo cell tracking in MATLAB stedy: 3D STED and confocal membrane analysis
Teaching
Fitting: educational Streamlit fitting tool, from simple fits to lifetime fits PALS: positron annihilation lifetime spectra cascaded gamma decay: angular-correlation model for the advanced lab
05 · Curriculum Vitae

Education and employment

Education
since 2022
Dr. rer. nat., Physics

Experimental soft matter / biological physics, AG Wagner · Saarland University.

2019-21
M.Sc. Physics

Saarland University. Thesis: sedimentation of erythrocytes in a colloidal-silica density gradient.

2014-18
B.Sc. Physics

Saarland University. Thesis: statistical analysis of red-cell flow in microchannels.

Awards
2025
Best Poster Award · AERC, Lyon
2014
Abiturpreis · Deutsche Physikalische Gesellschaft
Employment
since 2022
Research associate (Wissenschaftlicher Mitarbeiter)

Saarland University · research & teaching. Funded by a Young Investigator Grant (A. Darras).

2019-23
Developer / Electronic Engineer

AspektEins GmbH · integrated systems, ARM firmware, PCB design (working student).

2015-20
Student research assistant

AG Wagner · microscope control, image analysis, portable optical tweezers.

Teaching & supervision
Mathematischer Vorkurs (lecturer, 2022-25) · Physik für Biologen (2025) · Kernphysik (2024-25) · Advanced lab FOPRA · γγ-angular correlation & positron lifetime (2023-26) · Optik & Thermodynamik (2023) · Grundpraktikum (2020-22).
Co-supervision: N. Lerch (B.Sc. + M.Sc.), L. Hastenteufel (B.Sc.). Mentoring: D. Örüm (MD), K. Larhrissi (PhD), M. Qiao (collaboration).
11 conference contributions incl. DPG Spring Meetings, AERC Lyon, Living Fluids (Marrakesh), BIFD (Edinburgh), DynaCaps (Compiègne).
06 · News & Press
19 Mar 2026New paper in Biophysical Journal
Red-cell rigidity reshapes in vivo flow and lingering in bifurcations.
Read ↗
07 Jan 2026Solving the mystery of “blood-cell stripes”
Aggregation, not age, creates the centrifugation bands. (Saarland University)
Read ↗
22 Dec 2025Scientists unravel stripe patterns in nature
University of Bristol & Saarland University on red-cell aggregation.
Read ↗
19 Dec 2025Paper published in PNAS
Band pattern formation of erythrocytes in density gradients.
Read ↗
07 · Contact

Send a message

For research collaboration, inquiries, or media requests. Use the form or write directly to the address on the right.

Contact details

mail@felixmilanmaurer.com
Campus E2 6, Room 320
66123 Saarbrücken, Germany
+49 (0)681 302 - 2977
orcid.org/0000-0002-6459-1204

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