After performing a master thesis in the Biomedical Photonic Imaging Group (BMPI) of the University of Twente, I graduated from Ecole Centrale de Lyon in 2011. I then came back to the university of Twente to fulfill a PhD in the Physics Of Fluids Group, under the supervision of prof. Michel Versluis, on ultrasound contrast agents and graduated in 2015. I am now associate professor in the Physics Of Fluids Group, working on ultrasound, microscale fluid dynamics, bubble physics, and deep learning for ultrasound super-resolution contrast agents. 

Expertise

  • Physics

    • Ultrasound
    • Bubbles
    • Contrast
    • Acoustics
    • Pressure
    • Droplet
  • Medicine and Dentistry

    • In Vitro
    • Combination Therapy

Organisations

My research interests include a broad array of microscale phenomena, in particular these that can lead to the generation of contrast for ultrasound and photoacoustics. Such phenomena often involve cavitation, phase change and heat and mass transfer. I also have a keen interest in therapeutic applications of microbubbles for sonoporation, sonoprinting and gene therapy. Studying microscale physics also requires a precise control of the particles properties, and in particular their size. Part of my research activities therefore focuses on production methods and precise control of agents created using microfluidics. High-speed imaging is a critical tool in such studies and allows for the direct visualization of the response of the contrast agents. The recent arrival of ultrafast plane-wave ultrasound technology combined with monodisperse microbubbles opens new possibilities for highly controlled and localized drug delivery and greatly improved diagnostics for personalized medicine.

Publications

Jump to: 2026 | 2025 | 2024

2026

Microbubble-based measurement of shear and loss moduli in polyacrylamide hydrogels at MHz frequencies (2026)Soft matter, 22(3), 763-772. Rezaei, A., Dijs, K., Fernandez Rivas, D., Snoeijer, J. H., Versluis, M. & Lajoinie, G.https://doi.org/10.1039/D5SM00552CModeling nonlinear scattering of phospholipid-coated microbubbles in elastic media (2026)Ultrasonics, 162. Article 107964 (E-pub ahead of print/First online). Rezaei, A., Fernández Rivas, D., Lajoinie, G. & Versluis, M.https://doi.org/10.1016/j.ultras.2026.107964Steerable Anatomical Shape Synthesis with Implicit Neural Representations (2026)In Medical Image Computing and Computer Assisted Intervention , MICCAI 2025 - 28th International Conference, 2025, Proceedings (pp. 630-639) (Lecture Notes in Computer Science; Vol. 15962 LNCS). Springer. de Wilde, B., Rietberg, M. T., Lajoinie, G. & Wolterink, J. M.https://doi.org/10.1007/978-3-032-04947-6_60

2025

Tuning the Shell Elasticity of Phospholipid-Coated Microbubbles via Palmitic Acid Doping (2025)Langmuir, 41(42), 28313-28321. van Elburg, B., Bruil, K., Lajoinie, G., Borden, M., Versluis, M. & Segers, T.https://doi.org/10.1021/acs.langmuir.5c02618A human engineered mini-heart platform for mimicking ventricular pump function (2025)[Working paper › Preprint]. bioRxiv. Ribeiro, M. C., Cano-Jorge, M., ten Den, S., Snippert, D., Karperien, M., Kamperman, T., Lajoinie, G. P. R., Versluis, M. & Passier, R.https://doi.org/10.1101/2025.08.25.672056Immunogenic cell death as interplay between physical anticancer modalities and immunotherapy (2025)Journal of controlled release, 384. Article 113721. Engelen, Y., Demuynck, R., Ramon, J., Breckpot, K., De Smedt, S. C., Lajoinie, G. P. R., Braeckmans, K., Krysko, D. V. & Lentacker, I.https://doi.org/10.1016/j.jconrel.2025.113721Monte Carlo simulation platform for laser Doppler flowmetry (2025)Journal of biomedical optics, 30(8). Article 087002. Thompson, D., Verveld, W., Lajoinie, G., Versluis, M., Steenbergen, W. & Bosschaart, N.https://doi.org/10.1117/1.JBO.30.8.087002PROTEUS: A Physically Realistic Contrast-Enhanced Ultrasound Simulator - Part II: Imaging Applications (2025)IEEE transactions on ultrasonics, ferroelectrics and frequency control, 72(7), 866-878. Heiles, B., Blanken, N., Kuliesh, A., Versluis, M., Jain, K., Lajoinie, G. & Maresca, D.https://doi.org/10.1109/TUFFC.2025.3566437PROTEUS: A Physically Realistic Contrast-Enhanced Ultrasound Simulator - Part I: Numerical Methods (2025)IEEE transactions on ultrasonics, ferroelectrics and frequency control, 72(7), 848-865. Blanken, N., Heiles, B., Kuliesh, A., Versluis, M., Jain, K., Maresca, D. & Lajoinie, G.https://doi.org/10.1109/TUFFC.2024.3427850Microbubble acoustic cavitation and soft matter (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Rezaei, A.https://doi.org/10.3990/1.9789036566216Imaging Behind the Plaque: Improved Blood Flow Quantification Using an Iterative Scheme for Active Attenuation Correction (2025)Ultrasound in medicine and biology, 51(6), 984-998. Plomp, J., Ghanbarzadeh-Dagheyan, A., Versluis, M., Lajoinie, G. & Groot Jebbink, E.https://doi.org/10.1016/j.ultrasmedbio.2025.02.012Ultrasound-actuated microfluidic flow focusing allows control of bubble size and production rate (2025)Physical review applied, 23(5). Article L051004. Cleve, S., Segers, T., Versluis, M. & Lajoinie, G.https://doi.org/10.1103/PhysRevApplied.23.L051004Controlling the stability of monodisperse phospholipid-coated microbubbles by tuning their buckling pressure (2025)Journal of colloid and interface science, 685, 449-457. van Elburg, B., Lassus, A., Cherkaoui, S., Lajoinie, G., Versluis, M. & Segers, T.https://doi.org/10.1016/j.jcis.2025.01.114Steerable Anatomical Shape Synthesis with Implicit Neural Representations (2025)[Working paper › Preprint]. ArXiv.org. de Wilde, B., Rietberg, M. T., Lajoinie, G. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2504.03313Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging (2025)IEEE transactions on ultrasonics, ferroelectrics and frequency control, 72(4), 427-439. Zorgdrager, R., Blanken, N., Wolterink, J. M., Versluis, M. & Lajoinie, G.https://doi.org/10.1109/TUFFC.2025.3537298Thyroid meshes and presampled SDF values accompanying the paper "Steerable Anatomical Shape Synthesis with Implicit Neural Representations" (2025)[Dataset Types › Dataset]. Zenodo. de Wilde, B., Rietberg, M., Lajoinie, G. & Wolterink, J.https://doi.org/10.5281/zenodo.15100851Frequency-Domain Decoding of Cascaded Dual-Polarity Waves for Ultrafast Ultrasound Imaging (2025)IEEE transactions on ultrasonics, ferroelectrics and frequency control, 72(3), 321-337. Nawijn, C. L., De Bakker, J. M. K., Segers, T., de Korte, C. L., Versluis, M., Saris, A. E. C. M. & Lajoinie, G.https://doi.org/10.1109/TUFFC.2025.3534429Stress-strain analysis of single ultrasound-driven microbubbles for viscoelastic shell characterization (2025)The Journal of the Acoustical Society of America, 157(2), 897-911. Nawijn, C. L., Spiekhout, S., Voorneveld, J., Bosch, J. G., Versluis, M., Segers, T. & Lajoinie, G.https://doi.org/10.1121/10.0035639Dataset underlying the study: Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging (2025)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Zorgdrager, R. C., Blanken, N., Wolterink, J., Versluis, M. & Lajoinie, G.https://doi.org/10.4121/cc1c073d-23bf-4a1e-b9f4-9f878c95722d

2024

Additive manufacturing of 3D flow-focusing millifluidics for the production of curable microdroplets (2024)RSC advances, 53(14), 39276-39284. Saleem, M. S., Chan, T. T. K., Versluis, M., Krug, D. & Lajoinie, G.https://doi.org/10.1039/D4RA07234KSecond order and transverse flow visualization through three-dimensional particle image velocimetry in millimetric ducts (2024)Experimental thermal and fluid science, 159. Article 111296. Harte, N. C., Obrist, D., Versluis, M., Jebbink, E. G., Caversaccio, M., Wimmer, W. & Lajoinie, G.https://doi.org/10.1016/j.expthermflusci.2024.111296Super-resolution ultrasound imaging: Microbubbles, neural networks, and simulations (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Blanken, N.https://doi.org/10.3990/1.9789036564052Optimizing high-intensity focused ultrasound-induced immunogenic cell-death using passive cavitation mapping as a monitoring tool (2024)Journal of controlled release, 375, 389-403. Engelen, Y., Krysko, D. V., Effimova, I., Breckpot, K., Versluis, M., De Smedt, S., Lajoinie, G. & Lentacker, I.https://doi.org/10.1016/j.jconrel.2024.09.016Bubbles and waves for ultrasound imaging and therapy (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Nawijn, C. L.https://doi.org/10.3990/1.9789036562874Transverse flow under oscillating stimulation in helical square ducts with cochlea-like geometrical curvature and torsion (2024)European journal of mechanics. B - Fluids, 107, 165-174. Harte, N. C., Obrist, D., Caversaccio, M., Lajoinie, G. P. R. & Wimmer, W.https://doi.org/10.1016/j.euromechflu.2024.07.001

Research profiles

For the past 6 years, I am involved in teaching medical acoustics to master students with Prof. Michel Versluis. I have also supervised several bachelor thesis students and 9 master thesis students.

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

The research projects in which I am involved revolve around the idea of using microscale physics in order to generate contrast or induce therapy down to the single cell level. These mechanisms involve in particular phase change, microbubbles resonance and controlled production of complex particles.

Recently, I have focused on the use of these physical mechanisms combined with deep-learning for super-resolution ultrasound imaging.

Current projects

Ultrafast plane-wave ultrasound imaging

Plane-wave ultrasound allows us to image at several thousands of frames per second and thereby image biological processes that are otherwise too fast. In particular, we aim at flow parameters quantification using plane ultrasound and microbubble contrast agents, at a sub-millisecond timescale and resolve the details of the blood flow in relation to stents or vascular diseases.

Ultrasound super-resolution from raw ultrasound data using deep learning

Recently, ultrasound localization microscopy (ULM) has received much attention as a method to overcome the diffraction limit in ultrasound imaging. However, ULM relies on low concentrations of microbubbles, ultimately resulting in long acquisition times. In this project, we investigate an alternative super-resolution approach, based on deconvolution of the raw ultrasound data with neural networks. We focus on low-frequency ultrasound in order to image deep in the body, which is needed for cardiovascular diseases or cancer. To that end, we train the neural network to recognize the specific nonlinear feature of echoes generated by monodisperse bubbles (uniform in size).

Lab-on-a-Chip Microfluidics.

The formation of microscopic droplets, bubbles and particles with an accurately controlled and narrow size distribution is crucial in a wide variety of applications and products. For example, in medical applications such as diagnostic ultrasound imaging, targeted drug delivery, and drug inhalation therapy, but also in inkjet printing, cosmetics and in modern food industry.

Ultrasound Therapy with microbubbles.

The use of ultrasound contrast agents as local drug delivery systems continues to grow. Microbubbles are an interesting vehicle that can carry a variety of payloads from functional nanoparticles to RNA loaded liposomes. We study here the physical aspects that lead to the controlled release of the payload upon ultrasound exposure. The effects on cells and mechanisms such as sonoporation or sonoprinting, that can temporarily open cell membranes, are also of prime interest. The project includes the study of single bubbles and of their interaction with 3D cell structures, in parallel, and makes use of ultra-high-speed imaging, fluorescence imaging, ultrasound, optical microscopy and confocal imaging.

Ultrasound Imaging.

Contrast agents for ultrasound imaging are used daily in the clinics in order to, for example, assess blood perfusion or give information on tumor malignancy. In this project, we study the formation and the behavior of microbubbles in response to ultrasound in order to find innovative contrast mode for ultrasound imaging, and provide new information for diagnosis.

High-speed imaging.

High-speed imaging is a core technique for the study of ultrasound contrast agents. This project aims at designing and implementing new techniques in order to push further the exploration of small length scales and short time scales.

Finished projects

Multimodal agents: ultrasound and photoacoustics

Ultrasound and photoacoustic imaging are complementary by many aspects. Here, we design agents consisting of microbubbles or microcapsules, that are made sensitive to light by the addition of a dye in the bubble oil coating or in the polymer shell of the capsules. The fast heat and mass transfer on the microscale combined with the dynamics of microbubbles allow these agents to mechanically respond to both laser irradiation and ultrasound excitation. These agents could thus be use in a multimodal imaging setting including ultrasound and photoacoustics.

Phase-change agents for ultrasound.

Microbubbles have undeniably proven their value as ultrasound contrast agents, both for imaging and therapy. However, their micron size confines them to the blood vessels, making them exclusively blood pool agents. In this project, we study the vaporization mechanisms of superheated perfluorocarbon droplets that can be made small enough to extravasate and subsequently turned into microbubbles, using ultrasound as trigger. These microbubbles can then be used beyond the endothelial barrier for both diagnosis and therapy.

Address

University of Twente

Horst Complex (building no. 20), room ME214A
De Horst 2
7522 LW Enschede
Netherlands

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