Physics of Life · Saarland University

The physics of the
red blood cell.

I am a doctoral researcher in experimental soft-matter and biological physics. I work from the mechanics of a single cell to the collective patterns of a billion, through in vivo microscopy, image analysis, and physical modelling.

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
Felix Milan Maurer
BORN1996, Neunkirchen
BASEDSaarbrücken, DE
ORCID0000-0002-6459-1204

A physicist among the erythrocytes.

Since 2022 I have pursued a doctorate (Dr. rer. nat.) in the group of Prof. Christian Wagner at Saarland University, following a Master’s on the sedimentation of erythrocytes in colloidal silica density gradients. My work turns messy, real-world microscopy into quantitative physics: detection and tracking pipelines, 2D/3D image segmentation, shape analysis, and predictive models of how red cells move, deform, and organise.

The doctoral position is funded through a Young Investigator Grant secured by 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 Bristol
KU Leuven
Université Grenoble Alpes
Università di Pavia
University of Göttingen
Deutsche Forschungsgemeinschaft (funding)

02 · Research

From one cell to a billion.

A selection of the questions I work on. Each figure is drawn from the corresponding study; sources are cited beneath.

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.

Cells in vivo: rolling, lingering and partitioning

Building detection and tracking pipelines for messy, real intravital microscopy. In one line of work, white blood cells are classified as rolling or flowing along the vessel wall and followed through bifurcations. In another, healthy and artificially rigidified red cells are compared through the flow and geometry of the junction: rigid cells linger less at the branch apex, shifting how blood partitions between daughter vessels, a mechanism relevant to malaria and sickle-cell disease. My contribution: video processing, the 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

When red cells are centrifuged they settle into discrete stripes. For decades these bands were read as a sign of discontinuous cell ageing. We developed a continuity equation with aggregation and showed that the bands instead arise from a competition between cell aggregation and net buoyancy, the same class of physics that patterns bird flocks and zebra stripes. Related work explains the classic Percoll-gradient bands and their limits for 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

Surfaces extracted from confocal and STED stacks are smoothed by Willmore curvature flow and decomposed into spherical harmonics, placing each cell along the stomatocyte, discocyte and echinocyte axis. A random-forest classifier reaches 92% accuracy across 730 cells, a quantitative language for distinguishing health and disease conditions where humans, and simpler maths, cannot. Developed together with research colleague Nikolas Lerch.

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

Further lines of work
RBC density versus osmolality

Cytosol viscosity and density

Buoyant-density centrifugation maps the red-cell density distribution and, through the cytosol viscosity to density relation, its intracellular viscosity. This gives realistic single-cell inputs 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 compare how the chemical activators Yoda1 and the newer Yoda2 open the mechanosensitive Piezo1 channel in red cells, a practical reference for using these tools.

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

Croissants and slippers in flow

In capillary flow red cells adopt symmetric croissant or off-centred slipper shapes. Under time-dependent flow the croissant to slipper transition is far faster than the reverse, set by the flow ramp rate, tracked in a comoving frame with a custom PID 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 (cannabis) activates red-cell cation channels, raising intracellular calcium and driving dehydration and shape change. After THC, a large fraction of sickle cells crosses into the high-calcium range. A translational caution that cannabis may harm red cells 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

Drying droplets and edge growth

A drying drop usually leaves a coffee ring. At low red-cell concentration the deposit instead grows from a central edge, quantified through interface growth and roughness scaling, relevant to 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

Aggregation, gels and optical tweezers

Ongoing work bridges single-cell adhesion to the collective: optical-tweezers force measurements of cell-to-cell attraction feed a pair-interaction potential and a percolation picture of 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.2026.03.023DOI ↗

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.2515704122DOI ↗

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.2025.07.002DOI ↗

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/biom15081110DOI ↗

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.2024.10.039DOI ↗

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.27109DOI ↗

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/cells11081296DOI ↗

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.2021.12.009DOI ↗

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

04 · Tools & Teaching

Open code.

Research pipelines and teaching software, all public 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

An academic path.

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
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
Studentische Hilfskraft

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

Get in touch.

For research collaboration, inquiries, or media requests.

[email protected]
Campus E2 6, Room 320
66123 Saarbrücken, Germany
+49 (0)681 302 – 2977
orcid.org/0000-0002-6459-1204

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