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Image Search Results
Journal: Frontiers in Neural Circuits
Article Title: SBEMimage : Versatile Acquisition Control Software for Serial Block-Face Electron Microscopy
doi: 10.3389/fncir.2018.00054
Figure Lengend Snippet: (A) Conventional setup of the 3View system. The software SmartSEM (Carl Zeiss Microscopy, Cambridge, United Kingdom), running on the EM Server PC, controls the scanning electron microscope (SEM). The software DigitalMicrograph (Gatan), running on a support PC, controls the 3View hardware (diamond knife and motorized stage). DigitalMicrograph can also indirectly control the SEM via SmartSEM . (B) SBEMimage interacts with SmartSEM through a proprietary remote API, provided by Carl Zeiss Microscopy, and with DigitalMicrograph through a custom-written communication script. SBEMimage can thus control all relevant low-level functions of the SBEM system and exert full control over the acquisition process.
Article Snippet: For the ZEISS Merlin and other ZEISS microscopes, a powerful API already exists: the
Techniques: Software, Microscopy
Journal: medRxiv
Article Title: Salzburg Visual Field Trainer (SVFT): A virtual reality device for (the evaluation of) neuropsychological rehabilitation
doi: 10.1101/2021.03.25.21254352
Figure Lengend Snippet: Setup of the the “Salzburg Visual Field Trainer” (SVFT) illustrating Google ® Cardboard based solution (1) ZEISS ® VR ONE Plus, (2) Celly ® Bluetooth ® remote control and (3) Samsung Galaxy S9 ® smartphone (SM-G960F/DS). The smartphone runs software coded in Unity ® on Android ® Pie operating system. By clicking on the Bluetooth ® remote control during training, the user gives feedback to the system, which enables main menu navigation and adapts the position of the presented stimulus during the course of training. Thus, the presented stimuli keep being displayed in the individual transition zone of the user’s intact and defect visual field after potential improvements stemming from neuronal reconnection.
Article Snippet: The entire input required during the training process can be controlled from the
Techniques: Control, Software
Journal: medRxiv
Article Title: Salzburg Visual Field Trainer (SVFT): A virtual reality device for (the evaluation of) neuropsychological rehabilitation
doi: 10.1101/2021.03.25.21254352
Figure Lengend Snippet: Two-steps experimental design of the study. Left panel (step one): With the help of the validated perimetric methodology “Eye Tracking Based Visual Field Analysis” (EFA) the exact individual location and extent of the blind spots (red cluster) of 40 healthy, normal-sighted participants was assessed. Right panel (step two): Following, the coordinates of the individual blind spots location and extent were transformed (illustrated by the yellow arrow) into the coordinates system of the “Salzburg Visual Field Trainer” (SVFT). Participants were instructed to keep a steady fixation on the central cross (blue arrow) during testing and press the bluetooth button whenever they saw a stimulus in their peripheral vision. From 100 stimuli that were presented, 15 stimuli were displayed in the individually assessed location of the participants’ blind spots (exemplary “blind spot stimulus”: red arrow) and 85 stimuli were displayed around the participants’ blind spots (exemplary “detectable stimulus”: green arrow) in their fully functional visual field.
Article Snippet: The entire input required during the training process can be controlled from the
Techniques: Transformation Assay, Functional Assay