Why STL Files and 3D Printing Are the Next Frontier in Academic Publishing
Abstract Traditional academic publishing relies on static formats that flatten three-dimensional and dynamic data into text, images, and tables, limiting transparency, reproducibility, and accessibility. STL (stereolithography) files, the standard for 3D printing, offer a transformative alternative by enabling readers to rotate, measure, and physically reproduce the very models used in research. Case applications in anatomy, […]
.amz Files and NIH Compliance: What AnyMaze Users Need to Know
If your lab uses AnyMaze by Stoelting, your projects are almost certainly stored in a proprietary .amz file. That works fine inside AnyMaze, but it creates problems when you need to share results, archive experiments, or comply with the NIH Data Management and Sharing (DMS) Policy. ConductVision .amz file NIH data conversion solves this challenge […]
How to Turn EthoVision .nod Files into NIH-Compliant Datasets (Without Losing Your Mind)
For behavioral science labs funded by the NIH, converting data into open, shareable formats is no longer optional. Itās mandatory. But what happens when your data lives in a .nod file, the proprietary format used by EthoVision XT? Hereās your go-to guide for understanding .nod files, the roadblocks they pose for data sharing, and how […]
Making Smart Video Tracking Data NIH-Ready with ConductVision
From .svt, .smp, and .exp files to open, shareable, reproducible datasets Introduction If you’re running behavioral experiments using Smart Video Tracking (SVT) from Panlab or Harvard Apparatus, you’re likely working with .svt, .smp, or even .exp files. These project files are essential inside the SVT ecosystem but when it comes time to share your results, […]
A Comprehensive Guide to Grant Applications for Science Researchers
Remember, grants are highly competitive, but with perseverance, a well-crafted proposal, and the right resources, you can increase your chances of securing funding for your scientific endeavors. Good luck! ??
Correct Response Latency in the Zebrafish 5-Choice Maze: A Precision Metric for Cognitive Processing Speed
In the quest to quantify cognition, timing is everything. Among the metrics that define executive performance in behavioral neuroscience, Correct Response Latency (CRL), the time it takes to make the right choice after a stimulusāis a powerful and revealing tool. In the context of the Zebrafish 5-Choice Maze, this metric offers a real-time readout of […]
Accuracy Rate in the Zebrafish 5-Choice Maze: A Behavioral Biomarker of Cognitive Precision
The Zebrafish 5-Choice Maze stands at the frontier of translational neuroscience. Modeled after the Five-Choice Serial Reaction Time Task (5-CSRTT), this maze is a precision-engineered platform for evaluating core cognitive functions such as sustained attention, learning, stimulus recognition, and inhibitory control. At the heart of this complex behavioral assay lies a deceptively simple yet profoundly […]
Trial-to-Trial Improvement in Zebrafish: A Dynamic Marker of Learning in the Visual Water Maze
Understanding how learning unfolds is just as important as proving that learning occurs. In the field of behavioral neuroscience, trial-to-trial improvement offers a window into the process of memory acquisition, attention, and task engagement. Especially in zebrafish studies using the Visual Water Maze, tracking performance across sequential trials provides invaluable insight into the moment-by-moment progression […]
Thigmotaxis in Zebrafish: Emotional Insight from Wall-Hugging
What Wall-Hugging Behavior Reveals About Anxiety and Cognitive Performance In behavioral neuroscience, the path a subject avoids is often as telling as the path it chooses. Within the context of zebrafish research using the Visual Water Maze, one such behaviorāthigmotaxis, or wall-huggingāis especially revealing. Although sometimes dismissed as an artifact or a peripheral behavioral quirk, […]