scholarly journals Automatic navigation system for the mouse brain

2019 ◽  
Vol 527 (13) ◽  
pp. 2200-2211 ◽  
Author(s):  
Susan J. Tappan ◽  
Brian S. Eastwood ◽  
Nathan O'Connor ◽  
Quanxin Wang ◽  
Lydia Ng ◽  
...  
2018 ◽  
Author(s):  
Susan J. Tappan ◽  
Brian S. Eastwood ◽  
Nathan O’Connor ◽  
Quanxin Wang ◽  
Lydia Ng ◽  
...  

Identification and delineation of brain regions in histologic mouse brain sections is especially pivotal for many neurogenomics, transcriptomics, proteomics and connectomics studies, yet this process is prone to observer error and bias. Here we present a novel brain navigation system, named NeuroInfo, whose general principle is similar to that of a global positioning system (GPS) in a car. NeuroInfo automatically navigates an investigator through the complex microscopic anatomy of histologic sections of mouse brains (thereafter: “experimental mouse brain sections”). This is achieved by automatically registering a digital image of an experimental mouse brain section with a three-dimensional (3D) digital mouse brain atlas that is essentially based on the third version of the Allen Mouse Brain Common Coordinate Framework (CCF v3), retrieving graphical region delineations and annotations from the 3D digital mouse brain atlas, and superimposing this information onto the digital image of the experimental mouse brain section on a computer screen. By doing so, NeuroInfo helps in solving the long-standing problem faced by researchers investigating experimental mouse brain sections under a light microscope—that of correctly identifying the distinct brain regions contained within the experimental mouse brain sections. Specifically, NeuroInfo provides an intuitive, readily-available computer microscopy tool to enhance researchers’ ability to correctly identify specific brain regions in experimental mouse brain sections. Extensive validation studies of NeuroInfo demonstrated that this novel technology performs remarkably well in accurately delineating regions that are large and/or located in the dorsal parts of mouse brains, independent on whether the sections were imaged with fluorescence or brightfield microscopy. This novel navigation system provides a highly efficient way for registering a digital image of an experimental mouse brain section with the 3D digital mouse brain atlas in a minute and accurate delineation of the image in real-time.


2019 ◽  
Vol 158 ◽  
pp. 335-344 ◽  
Author(s):  
Shichao Li ◽  
Hongzhen Xu ◽  
Yuhan Ji ◽  
Ruyue Cao ◽  
Man Zhang ◽  
...  

1973 ◽  
Vol 26 (1) ◽  
pp. 55-60
Author(s):  
N. H. Hughes

The problems of integrating aircraft using area navigation into the terminal A.T.C. environment are discussed. It is concluded that area navigation systems currently available are incompatible with current terminal A.T.C. approach sequencing and that integration is only possible in the context of both computer assistance to the approach controller and data link between the A.T.C. computer and the aircraft navigation system. The benefits of Terminal Area Navigation are briefly considered and it is suggested that the deployment of vertical navigation in a procedural role might be the better first step. The paper was presented at the 19th Technical Conference of I.A.T.A., Dublin, 1972. Crown copyright.Currently available area navigation (R NAV) systems range from simple station-oriented single waypoint systems, allowing flight on paths which do not coincide with VOR radials, to complex systems in principle enabling flight from origin to destination along a pre-programmed route, including flight on a standard terminal arrival route (from holding point or feeder-fix to the approach gate). As far as Terminal Area Navigation is concerned it appears that the main objective to the R Nav system designers has been to provide a system which enables automatic navigation along the standard terminal arrival routes, as depicted in the Jeppeson Charts, and to display to the pilot his progress along the route. It appears that designers of the more sophisticated systems have tacitly assumed that when an R Nav aircraft enters the terminal area A.T.C. will be able and willing to allocate it such a route.


1960 ◽  
Vol 13 (1) ◽  
pp. 39-47
Author(s):  
L. S. Le Page

The view is taken in this paper that an automatic navigation system should be capable of weighing up data and issuing instructions, in the same manner as a human navigator. Conventional information tends to offer static rather than dynamic data.It is suggested that there are several stages of development towards completely automatic navigation: (i) a dynamic interpretation of the existing navigational situation, (ii) the automatic prediction of future situations, (iii) automatic navigational advice, (iv) automatic control of a ship under the supervision of a navigator. Such control would not take care of all situations but would be particularly suited to some; a list of the information likely to be required for presentation is given.For entirely automatic navigation to be feasible, the whole of the process of transport at sea may have to be reviewed. It is suggested that the trend should be towards presenting error, rate of change and forecast data.


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