Accelerating biology through quantitative analysis of images and data mining
Imaging is a primary method to capture complex biological processes at multiple scales that range from single molecules to whole-body. We use many modalities in our laboratory, including light and electron microscopy, ultrasound, PET and MRI and regular cameras. It is the focus of the Neuroimage Analysis Laboratory (NIAL) to leverage advanced image processing and analysis methods to turn the images into quantitative knowledge. Our services include:
Recent advancements in the field of computer vision have revolutionized how images are analyzed. The Neuroimage Analysis Laboratory (NIAL) aims to utilize these advancements and develop novel image- and data-analysis pipelines in close collaboration with wet-lab researchers. NIAL maintains and provides easy access to a range of high-performance servers and workstations to support researchers with their image and data analysis computational needs.
Shared Linux Server:
Dedicated Linux Servers:
Software Available on Linux Servers:
Shared Windows Workstations:
Software Available on Windows Workstations:
Dr. Abbas Shirinifard completed his PhD in Physics at Indiana University in 2011, under supervision of Professor James Glazier, focused on angiogenesis in cancer and choroidal neovascularization. He then pursued a post-doc with Dr. Glazier studying the effects of arsenic on intersegmental vascular development in zebrafish embryos before joining St. Jude in 2012. In addition to his diverse experience in physics-based approaches of studying biological systems, he has hands-on experience in a wide range of in vivo and in vitro methods including light microscopy, contrast-enhanced ultrasound, xenografts, IHC and histology. As the core director, his multi-disciplinary background uniquely positions him to effectively collaborate with DNB labs, overcoming language barriers that often exist between wet-lab and computational scientists.
Benjamin Lansdell, PhD
Bioinformatics Research Scientist