To facilitate the acquisition of experimental data, this contribution presents the development of a high-throughput screening platform for dynamic phase separation analysis with an automated ...

Google has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture, the ...

Yet, quantification of protein foci suffers from experimental limitations, subjectivity of analysis and is restricted to a handful of the hundreds of DDR proteins. Here we apply image correlation ...

Lesion characteristics, including size and location, were also documented. High-resolution dermoscopic images were acquired to facilitate comprehensive analysis and correlation of BCC features with ...

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

In this article, we’ll explore image-based steganography by creating a simple, beginner-friendly program in Python. This program will allow you to encode and decode hidden messages in images by ...