Python Gui
Python Gui - Related Videos
09:05
Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices
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Cited by 11 •
2017
This protocol describes how to conduct automatic image-guided patch-clamp experiments using a system recently developed for standard in vitro electrophysiology equipment.
08:29
Workflow Using a Cryogenic Coincident Fluorescence, Electron, and Ion Beam Microscope for Targeted Milling of Cells
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Cited by 2 •
2025
This workflow enables lamella production targeting fluorescently labeled biological structures that are small (<1 μm in axial extent) and rare (1 copy per cell) using a cryogenic tri-coincident imaging platform. This platform integrates fluorescence microscopy, focused ion beam milling, and scanning electron microscopy at a single focal position and enables simultaneous fluorescence microscopy while milling.
05:37
Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
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2025
The 3T-VASP framework combines hierarchical structure transformation with ab initio multi-scale gradients to significantly reduce the number of steps needed to escape local energy minima and model electrochemical reactions. This protocol presents a method for generating electrochemical reaction byproducts for various electrolyte component combinations using only 100-150 static DFT calculations.
05:50
Live Cell Imaging of Muller Glial Nuclear Migration During Zebrafish Retinal Regeneration
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2025
Source: Lahne, M., et.al. Culture of Adult Transgenic Zebrafish Retinal Explants for Live-cell Imaging by Multiphoton Microscopy. J. Vis. Exp. (2017)This video demonstrates live-cell imaging of Muller glial nuclear migration in agarose-embedded zebrafish retinal explants following light-induced photoreceptor damage. Tumor necrosis factor-alpha (TNF-α) released by damaged photoreceptors activates Muller glial cells, triggering nuclear migration through the inner and outer nuclear layers for...
04:41
Automated Image-Guided Patch Clamp Technique for Studying Neurons in Brain Slices
0 Views •
2025
In this video, brain slices are immobilized in a recording chamber, and cells of interest are located and focused on using a computer-controlled microscope. The automated image processing system then precisely positions a patch pipette to seal the cell membrane and monitor electrical signals.
FAQs
The event loop continually detects user actions, including mouse clicks, key presses, and submitted responses. It then dispatches each event to the callback function associated with that action. This separation allows the interface to wait for behavior while responding appropriately, such as updating a display, starting a computation, or processing a participant’s input.
Callback functions determine what the application does after a recognized event occurs. A callback may update interface elements, trigger a computation, or handle a submitted response. In behavioral tasks, this connection links an observable action, such as a selection or key press, to the program’s response, making the task interactive and operationally defined.
These interface elements provide different ways to present information and collect actions. Visual displays can show stimuli, while buttons, menus, and forms can organize choices or submitted responses. Windows provide the surrounding task structure. Combining these components helps researchers create controlled interactions that make behavioral processes easier to observe and record.
A basic workflow is to arrange the needed interface elements, configure the events they should recognize, and connect those events to callback functions. The callbacks can present stimuli, record responses, update the interface, trigger computations, or provide feedback. This sequence turns a visual prototype into an interactive data-collection or experimental task.
Researchers can use them when a study requires participants to interact with controlled stimuli and submit responses through a visual interface. They are also useful for prototypes and data-collection tools. Because the same interface can manage task actions and response handling, it supports structured observation of behavioral processes and later analysis of collected information.
A GUI can place stimulus presentation, response collection, task interactions, and feedback within one defined application workflow. This makes the steps of a behavioral process more consistent and easier to observe across uses. The resulting data-collection tool can also support analysis by organizing participant responses within the task that generated them.