The Beckman Institute Graduate Student Seminar Series presents the work of outstanding graduate students working in Beckman research groups. The seminar begins at Noon in Beckman Institute Room 1005 and is open to the public. Lunch will be served.
Multimodality Image Fusion and Pattern Classification by Subspace Learning
Raymond Yun Fu
Image-based pattern classification was an extensively discussed topic over the past several decades in interdisciplinary fields, such as biomedical imaging, computer vision, human-computer interaction and multimedia. The revolutionary capabilities of new imaging modalities, such as IR, CT, MRI, Ultrasound, as well as advanced image feature extraction techniques have provided powerful new opportunities for many practical applications in these fields. An increasing demand emerges in efficient multimodality fusion of image data/features, because the patterns from difference modalities/extractions can be treated in a complimentary manner to gain additional insights into a phenomenon and make accurate pattern classification. In this talk, the problems of multiple feature and multimodality image fusion are defined and solved by a general subspace learning method. The effectiveness is demonstrated by some real-world applications in computer vision and biomedical imaging.
Precise Control of Distances between Gold Nanoparticles Using Phosphorothioate Anchors on DNA and a Bifunctional Linker
Jung Heon Lee
Precise control of the position of and distance between nanomaterials is at the heart of nanoscale science and technology. DNA has been shown to be highly programmable molecules resulting in a number of 2D and 3D nanostructures. Despite the huge promise, functionalizing these DNA-based nanostructures with nanomaterials has been a challenge in the field. Here we introduce a simple but precisely controllable method to assemble gold nanoparticles (AuNPs) on DNA by using a simple modification on DNA as an anchor and a bifunctional linker that can connect a AuNP to DNA as a fastener. The chemical attachment between a AuNP and a bifunctional fastener treated modified DNA has been demonstrated in solution by plasmon peak shift as AuNPs aggregate and disassemble due to the DNA hybridization and denaturation. Distance between AuNPs assembled on DNA could be controlled by simply changing the position of the modification on DNA with identical sequences and it could be observed on surface by Scanning Electron Microscopy (SEM) images and statistic analyses. The methodology demonstrated can be applied to using DNA for precise distance and topological control of nanomaterials in one, two, and three dimensions.