Filetype
The study of eye movements is an important source of information for researchers (eg neurobiologists, psychologists and optometrists) and healthcare professionals (eg neurologists, ophthalmologists, ear-nose-throat doctors, orthoptists). Research has shown that the study of eye movements is a powerful tool for understanding how our psyche and our brain work. Understanding all eye movement disorder
https://www.photoacoustics.lu.se/clinical-applications/gaze-tracking - 2026-10-07
The Lund University Clinical Center For Spectral and Acoustic Imaging is a unique interdisciplinary research infrastructure that relies on close ties between several faculties. The ecosystem depicted above demonstrates how the expertise of each partner plays an integral role in realizing the ultimate goal of improving clinical practices. Faculty of Medicine Department of OphthalmologyProf Malin Ma
https://www.photoacoustics.lu.se/organization - 2026-10-07
To discuss your ideas, please contact:DirectorProfessor Malin Malmsjö (medicine), Faculty of Medicine and Region Skåne, malin [dot] malsmjo [at] med [dot] lu [dot] se (malin[dot]malmsjo[at]med[dot]lu[dot]se), +46 (0) 722 335060Steering groupSenior Lecturer Magnus Cinthio (ultrasound), Lund Institute of Technology (LTH), magnus [dot] cinthio [at] bme [dot] lth [dot] se (magnus[dot]cinthio[at]bme[do
https://www.photoacoustics.lu.se/contact - 2026-10-07
Amyloidosis is a rare disease characterized by a buildup of abnormal amyloid deposits in the body. Amyloid deposits can build up in the heart, brain, kidneys, spleen and other parts of the body. Amyloid in the heart reduces the ability to fill with blood between heartbeats. Less blood is pumped with each beat, and the patient experience shortness of breath. If amyloidosis affects your heart's ele
https://www.photoacoustics.lu.se/clinical-applications/amyloidosis - 2026-10-07
Ultrasonic contrast-free microvascular imaging using ultrafast Doppler is an emerging technology which has enabled microvascular imaging in brain, tumor vascularization imaging, and functional ultrasound. However, the technology has, as far as we know, mostly be used in situations with little or no motion artefacts and using clinical transducer frequencies. The rabbit pup brain is a very useful mo
https://www.photoacoustics.lu.se/clinical-applications/neonatal-cns-circulation - 2026-10-07
The goniometer employs the same light sources as the multispectral microscope, but has an extended capability to measure the scattering properties of a sample by determining the preferred angles light choses to scatter into. The goniometer is therefore important when characterizing the optical properties of human tissue, which in turn lays a foundation for proper interpretation of signals generate
https://www.photoacoustics.lu.se/welcome-photoacoustic-center/goniometry - 2026-10-07
Knowledge of how blood perfusion is affected during and after reconstructive surgery is of great importance to predict the survival of grafts and flaps. When commonly used reconstructive procedures were developed a century ago, they were based on empirical observations of clinical outcome. However, today modern, non-invasive techniques are available to monitor perfusion during and after surgery. A
https://www.photoacoustics.lu.se/clinical-applications/reconstructive-surgery - 2026-10-07
Malaria is responsible for over half a million deaths annually, however, these are primarily in the developing parts of the World. The reason why it remains a problem in only a few places is because the incidence is particularly high and the methods of diagnosing the parasitic illness are not efficient enough. Moreover, understanding the behaviour of the plasmodium parasite vector (the female Ano
https://www.photoacoustics.lu.se/clinical-applications/malaria - 2026-10-07
The purpose of this project is to develop and evaluate three non-invasive examination methods for the diagnosis of breast tumors, namely photoacoustics, diffuse reflectance spectroscopy and ultrasound-based tissue characteristics. It is our hope that the methods will be used for primary diagnostic of breast cancer, planning of breast cancer surgery but also to evaluate the given preoperative cance
https://www.photoacoustics.lu.se/clinical-applications/breast-cancer - 2026-10-07
Machine learning and computational modelling have emerged as powerful tools in both preclinical and clinical research. In this context, hybrid pipelines integrating data clustering, mechanistic modelling, machine learning, and image processing algorithms are being developed to enhance analytical capabilities.These advancements not only improve automated analysis and decision-making but also provid
https://www.photoacoustics.lu.se/computational-modelling - 2026-10-07
PhD defense Ulf Dahlstrand March 20th, 2020 at 13.00Segerfalksalen, BMC LundThesis title: Supervisor: Professor Malin MalmsjöFaculty Oponent: PhD defense Linda Rannveig ThorisdottirMay 22nd, 2020 at 09.00Segerfalksalen, BMC LundThesis title: Supervisor: Professor Malin MalmsjöFaculty Oponent:
https://www.photoacoustics.lu.se/events/upcoming-events - 2026-10-07
Gaining insights into neural tube regulation and optimizing protocols for dopaminergic neuron generation require a novel framework integrating gene circuit models with morphogen inputs. Optimized using single-cell data from human embryonic stem cell differentiation (provided by Kirkeby lab, Copenhagen University, Parmar lab, Lund University), these models will capture rostro-caudal and dorso-ventr
https://www.photoacoustics.lu.se/computational-modelling/3d-modelling-neural-tube-development - 2026-10-07
T-cell development serves as a powerful model for studying lineage commitment from multipotent progenitors. To investigate the timing and inheritance of T-cell fate decisions, multi-scale agent-based models are designed, optimized, and validated using single-cell molecular and imaging data from the Rothenberg lab at Caltech. Selected publicationsOlariu V., Yui M.A., Krupinski P., Andersson E., Ro
https://www.photoacoustics.lu.se/computational-modelling/multiscale-models-t-cell-commitment - 2026-10-07
This interdisciplinary project integrates systems biology and machine learning with experimental neuroscience to enhance the production of specific neural cell types for therapeutic applications. In collaboration with the Ottosson lab at Lund University, a unique computational framework will be developed using single-cell experimental data to optimize the generation of Parvalbumin and Somatostatin
https://www.photoacoustics.lu.se/computational-modelling/optimizing-production-transplantable-neural-cells - 2026-10-07
This project focuses on direct reprogramming of adult human dermal fibroblasts into induced neurons and induced microglia, preserving the aging signature of the original patient cells. A multi-scale computational model is developed for a 3D cell culture system integrating both cell types from the same skin biopsy, enabling the first study of neuron-microglia interactions in an aging human-based sy
https://www.photoacoustics.lu.se/computational-modelling/neurodegenerative-diseases-modelling - 2026-10-07
A deep learning method is proposed for detecting tumor genes based on their unique combined epigenetic signatures. Large volumes of epigenetic data will be processed by the Tomoiaga group at Manhattan College and Columbia. This data will be utilized to train and validate deep network models capable of accurately detecting epigenetic patterns, which can then be leveraged for the classification of g
https://www.photoacoustics.lu.se/computational-modelling/machine-learning-detection-tumor-genes-epigenetic-data - 2026-10-07
xx
https://www.photoacoustics.lu.se/events/past-events - 2026-10-07
The reprogramming of fibroblasts into induced pluripotent stem cells remains inefficient and not fully understood. The goal is to use machine learning and mechanistic modelling to identify barriers to reprogramming from in vitro data provided by Kaji Lab at the University of Edinburgh. Addressing these barriers could improve reprogramming efficiency and increase stem cell production. Additionally,
https://www.photoacoustics.lu.se/computational-modelling/optimizing-cell-reprogramming-pluripotency - 2026-10-07
We propose a machine learning framework in which neural network models are trained and validated using hyperspectral tumor imaging data. These models are integrated with segmentation algorithms to accurately predict the tumor’s actual size and determine the optimal amount of tissue to remove. Beyond improving surgical precision, our approach also holds the potential to accurately classify tumor ty
Lund University Clinical Center For Spectral and Acoustic Imaging Welcome to the Clinical Center For Spectral and Acoustic Imaging Here you can read more about what is happening in our research group. A short presentation of our research A short presentation on some of our most exciting research projects and latest findings. Our Technical Research Projects Read about our technical development. Ou
https://www.photoacoustics.lu.se/lund-university-clinical-center-spectral-and-acoustic-imaging - 2026-10-07
