Spatiotemporal 3D image registration for mesoscale studies of brain development

Comparison of brain samples representing different developmental stages often necessitates registering the samples to common coordinates. Although the available software tools are successful in registering 3D images of adult brains, registration of perinatal brains remains challenging due to rapid growth-dependent morphological changes and variations in developmental pace between animals. To address these challenges, we introduce CORGI (Customizable Object Registration for Groups of Images), an algorithm for the registration of perinatal brains. First, we optimized image preprocessing to increase the algorithm's sensitivity to mismatches in registered images. Second, we developed an attention-gated simulated annealing procedure capable of focusing on the differences between perinatal brains. Third, we applied classical multidimensional scaling (CMDS) to align ("synchronize") brain samples in time, accounting for individual development paces. We tested CORGI on 28 samples of whole-mounted perinatal mouse brains (P0-P9) and compared its accuracy with other registration algorithms. Our algorithm offers a runtime of several minutes per brain on a laptop and automates such brain registration tasks as mapping brain data to atlases, comparing experimental groups, and monitoring brain development dynamics

Remote Control Application for Servosila Engineer on Android Mobile Devices

Even though modern mobile robots' autonomous navigation capabilities rapidly increase, teleoperation mode is still an important tool, especially in critical domains like rescue or military robotics. This paper presents Android OS based teleoperator control tool for Russian crawler robot Servosila Engineer. We changed the way of data exchange between a robot and its operator, which allows using Wi-Fi data standards in order to simply data transfer from OCU (Operator Control Unit) process to vehicle process. Our application provides robot remote control and video data transfer from robot onboard cameras.440-44