Categories: AI/ML News

Bringing clarity to microscopic imaging: New tool removes motion artifacts

Imaging microscopic samples requires capturing multiple, sequential measurements, then using computational algorithms to reconstruct a single, high-resolution image. This process can work well when the sample is static, but if it’s moving—as is common with live, biological specimens—the final image may be blurry or distorted.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Flux Kontext Dev is pretty good. Generated completely locally on ComfyUI.

You can find the workflow by scrolling down on this page: https://comfyanonymous.github.io/ComfyUI_examples/flux/ submitted by /u/comfyanonymous…

13 hours ago

7 AI Agent Frameworks for Machine Learning Workflows in 2025

Machine learning practitioners spend countless hours on repetitive tasks: monitoring model performance, retraining pipelines, data…

13 hours ago

A Gentle Introduction to Attention Masking in Transformer Models

This post is divided into four parts; they are: • Why Attention Masking is Needed…

13 hours ago

10 Essential Machine Learning Key Terms Explained

Artificial intelligence (AI) is an umbrella computer science discipline focused on building software systems capable…

13 hours ago

From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating Mobile UI Operation Impacts

With advances in generative AI, there is increasing work towards creating autonomous agents that can…

13 hours ago

Tailor responsible AI with new safeguard tiers in Amazon Bedrock Guardrails

Amazon Bedrock Guardrails provides configurable safeguards to help build trusted generative AI applications at scale.…

13 hours ago