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 - 2025-04-05

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 - 2025-04-05

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 - 2025-04-05

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 - 2025-04-05

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 - 2025-04-05

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https://www.photoacoustics.lu.se/events/past-events - 2025-04-05

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 - 2025-04-05

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

https://www.photoacoustics.lu.se/computational-modelling/precision-skin-tumor-diagnostics-machine-learning-and-hyperspectral-imaging - 2025-04-05

Lund University Clinical Center For Spectral and Acoustic Imaging Welcome to the Clinical Center For Spectral and Acoustic Imaging Read about our platform. Presentation of our research A short presentation on some of our most exciting research projects and latest findings. Calendar Link to RSS 16 May 2025 12:30 to 13:30 | Seminar Seminar given by associate professor Aboma Merdasa 23 May 2025 13:00

https://www.photoacoustics.lu.se/lund-university-clinical-center-spectral-and-acoustic-imaging - 2025-04-05

We use the photoacoustic imaging technology platform to solve clinical problems while developing technology to make this possible. Skin Cancer Giant Cell Arthritis Reconstructive Surgery Gaze Tracking Strabismus Surgery Oxygen Saturation Breast Cancer Pediatric Surgery Heart Failure Amyloidosis Neonatal CNS Circulation

https://www.photoacoustics.lu.se/clinical-applications - 2025-04-05

Principal investigator: Professor Malin Malmsjö This project focus on evaluating and optimizing PA imaging as a method to detect and outline skin tumors. We are investigating the PA spectral signature of different tumor cells to enable automatic measure­ment of the tumor borders, and test the developed method in the clinical setting, ultimately developing PA imaging into a diagnostic tool for skin

https://www.photoacoustics.lu.se/skin-cancer - 2025-04-05

Measuring the oxygen saturation is of great value in a wide range of medical fields. For instance, tumor progression and malignancy is strongly dependent on tumor hypoxia. Monitoring of cerebral oxygen saturation can be used in the diagnosis of cerebral desaturations in stroke patients. In cardiovascular disease and diabetes the measurement of abnormalities of the microcirculation can monitor the

https://www.photoacoustics.lu.se/clinical-applications/oxygen-saturation - 2025-04-05

This project focus on evaluating and optimizing photoacoustic (PA) imaging as a method to non invasively diagnose giant cell arthritis. Giant cell arteritis (GCA) also known as temporal arteritis is a sight- and life-threatening, granulomatous large-vessel condition. Typical symptoms are headache, fever, fatigue, night sweats and weight loss. GCA may not only cause permanent loss of vision, but al

https://www.photoacoustics.lu.se/clinical-applications/giant-cell-arteritis - 2025-04-05

LSCI is a non-invasive technique to measure blood perfusion. The method that visualizes tissue blood perfusion in real time. The system uses an invisible 785 nm laser beam that is spread over the surface of the skin by a diffuser, creating a speckle pattern formed by random interference in the backscattered light from the area illuminated by the laser. Blood perfusion is calculated by analyzing th

https://www.photoacoustics.lu.se/welcome-photoacoustic-center/laser-speckle-contrast-imaging-lsci - 2025-04-05

Diffuse reflectance spectroscopy (DRS) utilizes white light with a known spectrum, which is guided to the surface of the skin via an optical fiber. As light penetrates into the tissue, photons either scatter or become absorbed where only a fraction of the injected photons manage to escape back from the skin surface. This light is captured by a second fiber and measured with a spectrometer. Dependi

https://www.photoacoustics.lu.se/platform/house-diffuse-reflectance-spectroscopy - 2025-04-05

Hyperspectral imaging has traditionally been employed for environmental monitoring where large swaths of land have been surveyed miles above from air planes. With the capability of resolving minute spectral changes in space, different types of vegetation and soils could be identified over large areas, which has been useful to recognize the prevalence of various crop diseases. Today, the method is

https://www.photoacoustics.lu.se/welcome-photoacoustic-center/hyperspectral-imaging - 2025-04-05

When employing optical characterization of human tissue it is important to obtain proper characteristics of all its constituents that coexist in a complex fashion. This requires that each constituent is isolated and measured independently to determine how it reacts to different wavelengths of light (primarily absorption). Besides the hyperspectral camera, we have a multispectral microscope which e

https://www.photoacoustics.lu.se/welcome-photoacoustic-center/multispectral-microscopy - 2025-04-05

Implement in-house state-of-the-art motion-tracking methods into our novel PAI application and evaluate its performance. During a scan, motion artifacts arise as a result of movements of the operator or the patient, and from breathing and tissue movements. To reduce movements of the operator and patient we have developed a transducer holder and stabilized the patient using a vacuum pillow (Sheikh

https://www.photoacoustics.lu.se/technical-development/motion-tracking - 2025-04-05

A key feature of photoacoustic imaging is its ability to illuminate tissue at multiple wavelengths, and thus record images with a spectral dimension. Spectral imaging allows sensing of intrinsic chromophores that can reveal physiological, cellular and subcellular functions. However, the identification of spectral signatures within images obtained at multiple wavelengths requires spectral unmixing

https://www.photoacoustics.lu.se/technical-development/spectral-unmixing - 2025-04-05

This project focus on evaluating and optimizing photoacoustic (PA) imaging as a method to detect and outline skin tumors. We are investigating the PA spectral signature of different tumor cells to enable automatic measure­ment of the tumor borders, and test the developed method in the clinical setting, ultimately developing PA imaging into a diagnostic tool for skin cancer.   When operating tumors

https://www.photoacoustics.lu.se/clinical-applications/skin-cancer - 2025-04-05