My work focuses on high-performance computing and biomedical imaging. Maps describing tissue structure and composition are critical for understanding biological functions. This data is particularly important for research in complex phenotypes, such as the brain tissue and tumor biopsies. However, whole organ imaging is impractical with existing instrumentation and data processing algorithms. My research enables three-dimensional whole organ phenotyping by developing methods for exploring large biological samples at sub-micrometer resolution. I focus on developing new instrumentation and utilizing high-performance computing to create large-scale multi-dimensional and hyperspectral data sets that will enable advances in disease research, diagnosis, and precision medicine.
Multimodal high-resolution system for embryonic imaging combining optical coherence tomography and light sheet fluorescence microscopy
A dual-modality optical coherence tomography and selective plane illumination microscopy system for mouse embryonic imaging
Comparison of rotational imaging optical coherence tomography and selective plane illumination microscopy for embryonic study
Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data