Kevin S. Lorenz

Learn More
Intravital microscopy has been recognized for its ability to make physiological measurements at cellular and subcellular levels while maintaining the complex natural microenvironment. Two-photon microscopy (TPM), using longer wavelengths than single-photon excitation, has extended intravital imaging deeper into tissues, with minimal phototoxicity. However,(More)
Digital image analysis is a fundamental component of quantitative microscopy. However, intravital microscopy presents many challenges for digital image analysis. In general, microscopy volumes are inherently anisotropic, suffer from decreasing contrast with tissue depth, lack object edge detail and characteristically have low signal levels. Intravital(More)
Lorenz, Kevin S. Ph.D., Purdue University, August 2012. Registration and Segmentation Based Analysis of Microscopy Images. Major Professors: Edward J. Delp and Paul Salama. Optical microscopy exhibits many challenges for digital image analysis. In general, microscopy volumes are inherently anisotropic, suffer from decreasing contrast with tissue depth, lack(More)
Optical microscopy exhibits many challenges for digital image analysis. In general, microscopy volumes are inherently anisotropic, suffer from decreasing contrast with tissue depth, and characteristically have low signal levels. This paper describes a method to segment multiphoton fluorescent microscopy images via a combination of segmentation and(More)
Intravital microscopy is a uniquely powerful tool, providing the ability to characterize cell and organ physiology in the natural context of the intact, living animal. With the recent development of high-resolution microscopy techniques such as confocal and multiphoton microscopy, intravital microscopy can now characterize structures at subcellular(More)
Images collected by intravital microscopy suffer from motion artifacts which necessitates the use of image registration techniques to reconstruct three-dimensional or time series data. In this paper, we describe a multi-resolution/multi-level approach to non-rigid image registration using B-splines with a coarse-to-fine strategy. A control lattice with a(More)
Three dimensional image volumes collected using optical microscopy exhibit many characteristics that cause difficulty in segmentation. These include decreasing image contrast with increasing tissue depth, poor edge detail with regard to cellular structures, and limited spatial resolution. This paper describes a three dimensional segmentation method(More)
This paper considers the formulation of a digital pre-distorter to eliminate distortions that are generated by a frequency-dependent imbalance between the analog in-phase (I) and quadrature (Q) channels of a direct conversion transmitter. Estimation of the imbalance occurs in the frequency domain, while compensation occurs in the time domain. We demonstrate(More)
Ng, Ka Ki Ph.D., Purdue University, December 2011. Background Subtraction and Object Tracking with Applications in Visual Surveillance. Major Professor: Edward J. Delp. Visual surveillance has been a very active research topic in the last few years due to its growing importance in security, law enforcement, and military applications. More and more(More)
  • 1