We are retiring our Hitachi H-600 Transmission Electron Microscope to make room for a new JEOL (@JEOLUSA) replacement to keep company with our other workhorse JEOL JEM-1400. I have mixed feelings about retiring this microscope as this is the system we originally developed the first code to mosaic and register images and image slices for our connectomics work.
This fully functional and well cared for microscope will be made available through the University of Utah Surplus and Salvage as an auction if you are interested in bidding on it. Contact me: bryan dot jones at m dot cc dot utah dot edu or @BWJones if you are interested in it.
Abstract: Classification and detection of biological structures in Electron Micrographs (EM) is a relatively new large scale image analysis problem. The primary challenges are in modeling diverse visual characteristics and development of scalable techniques. In this paper we propose novel methods for synapse detection and localization, an important problem in connectomics. We first propose an attribute based descriptor for characterizing synaptic junctions. These descriptors are task specific, low dimensional and can be scaled across large image sizes. Subsequently, techniques for fast localization of these junctions are proposed. Experimental results on images acquired from a mammalian retinal tissue compare favorably with state of the art descriptors used for object detection.