Katjana Ehrlich
Papers
1
Total Citations
2
H-Index
1
About
Katjana Ehrlich is a rising leader in biomedical optics, with a focused expertise in fluorescence lifetime imaging (FLIm) and its translation to real-time surgical guidance. Her most notable contribution is the development of a data-centric learning framework for the accurate detection of aiming beams in fiber-based FLIm systems, a critical innovation that enables precise mapping of tissue measurements during image-guided surgery. This work, published in 2025 and already garnering 2 citations, addresses a fundamental challenge in intraoperative imaging: ensuring that spectroscopic data is reliably correlated with the surgical field. Ehrlich’s approach leverages advanced machine learning to enhance the robustness of FLIm in dynamic clinical environments, paving the way for more reliable cancer margin assessment during surgery. Her research sits at the intersection of optical engineering, computational analysis, and clinical translation, demonstrating a clear commitment to solving practical problems in real-time tissue characterization. As an early-career researcher, Ehrlich’s work signals a promising trajectory in the field of biophotonics, where her methodological innovations are poised to improve outcomes in fluorescence-guided surgery.
Research Focus
Key Achievements
Top Papers
- 1