Conduct Science

Designing Translational Research Computer Vision That Conforms to Gold-Standard Science and Open Access Mandates
✍️ By Amy Avakian, MD

Computer vision is becoming a cornerstone of both preclinical and clinical research, but its translational value depends on how rigorously these systems are designed.

In this blog, we explore a translational framework for computer vision pipelines that can operate across species while meeting gold-standard scientific requirements for reliability, reproducibility, and validity.

The article also addresses how CV systems can align with open access mandates, including FAIR data principles and funder expectations for open code and data sharing.

By prioritizing standardization, transparency, and interoperability, this piece outlines how computer vision can move beyond isolated applications and become a true bench-to-bedside research tool, benefiting both preclinical and clinical communities.

👉 Check out the full post at https://conductscience.com/designing-ethical-and-safe-computer-vision-software-for-human-research/

🧬 New on the ConductScience Blog: Learning in Drosophila: The Heat Maze Paradigm

How do fruit flies learn, remember, and navigate their environment? Despite their small size, Drosophila melanogaster offers powerful insights into the neural and genetic foundations of learning and memory.

In this blog, we explore the Heat Maze paradigm, a behavioral assay that uses controlled thermal aversion and visual cues to study spatial learning in flies. The article breaks down how the task works, what it measures, and why it’s a valuable tool for investigating cognition, neural circuitry, and experimental reproducibility in insect neuroscience.

A clear and accessible overview for researchers interested in behavioral paradigms, learning mechanisms, and model organism research.

👉 Read the full blog at https://conductscience.com/learning-in-drosophila-the-heat-maze-paradigm/?srsltid=AfmBOoqK5z_rn-R--VYG3DvF8ra2M5u3a5zb1BJ_oIxk9Ynm9OQiD-Uc

Shock-Induced Movement is a key metric in fear conditioning, tracking an animal's immediate, reflexive response to aversive stimuli like loud noises. Unlike freezing, which signals fear-induced immobility, it measures intense, rapid movements right after a shock. ConductVision software monitors, detects, and analyzes these movements, helping researchers assess reflexive vs. learned fear responses and anxiety levels. Combined with metrics like Freezing Duration, it provides a comprehensive understanding of animal reactions to stress.

Learn more at https://conductscience.com/shock-induced-movement/