CIPA

competency-dataType

CIPA

CIPA

LU-IPA, previously CIPA, is the Lund University infrastructure for Image Processing and Analysis.
LU-IPA provides services for image processing and analysis, guidance and tutorial to software, access to computer work stations with image processing and analysis software, access to on-site application expertise and tools.

Segmenting Glomeruli and other structures from synchrotron X-ray microtomography datasets

Segmenting Glomeruli and other structures from synchrotron X-ray microtomography datasets

Diabetes is a long-lasting health condition with serious complications. We studied a new group of rats with a specific genetic mutation linked to diabetes. Regardless of their gender and blood sugar levels, these rats were overweight and had larger livers, hearts, and kidneys compared to normal rats. A study of the size of Bowmans space (difference between outer perimeter and Tuft of their glomeruli) can reveal tendencies toward having or developing cancer. In that respect advanced machine learning approaches are used to automatically segment and evaluate 3D volumetric information of many of the structures found within the tomography scans collected.

3D mapping of cortical changes leading to epileptic seizures

3D mapping of cortical changes leading to epileptic seizures

Epilepsies are a family of devastating disorders characterized by spontaneous, recurrent seizures. It is one of the most common brain disorders and considered the most burdensome neurologic disorder worldwide. ​Available pharmacological treatments are only symptomatic, often with side effects and fail to adequately control seizures in one third of patients.