Pathology software for optimal lab performance advances at a rapid pace

Did you know that deep learning tools for microscopy image analysis?can be trained to autonomously analyze image data on the basis of a variety of input images?

AI is currently the main driving force behind fuelling a fundamental transformation in the practice of pathology. By 2027, the pathology software industry is expected to reach a market growth of 12%. In AI and pathology, you need quality data to train AI models to speed up the research workflow and, at the same time, get reliable and reproducible results.

The latest bioimage analysis applications make use of this advanced AI technology to improve research processes. On top of that, they also aim at reducing resource turnover, especially in the field of cellular image analysis, tissue analysis, and tissue biomarker research.

Based on powerful AI models running on novel image data, you can make predictions and automatically detect and segment objects and regions of interest on whole-slide images. This includes tumor and non-cancerous areas or sub-cellular structures like cytoplasm, nucleus, and the cellular membrane. Our team provides you with more information on the main characteristics of the different application training types in our IKOSA Knowledge Base ??.

Cloud technology ensures maximum productivity and faster collaborations within research teams and offers the option to securely store large amounts of microscopy image data in digital libraries.

Pathology training software for an ideal (virtual) learning-environment

If you are completely new to this or you have already used digital pathology (training) software, you will be happy to hear that these comprise innovative digital solutions for educational purposes as well.

These e-learning applications provide a web-based platform and hosting environment for digital pathology training, by also offering the opportunity for trainers to manage, track and deliver educational content and resources (i.e., in an online teaching module). Typically this product category includes virtual e-learning environments (VLEs)?and?interactive simulators that can be used at any time and from anywhere. This is the case for applications targeted specifically at higher education institutions and HR departments of labs and hospitals.

We would now like to share with you the 5 main reasons to use AI-enhanced pathology software:

At KML Vision, we are dedicated to providing you with state-of-the-art technology spanning?AI-powered analysis, model training features, and a collection of?ready-made pathology image analysis applications combined with smart?bioimage data management and user collaboration. IKOSA comprises a comprehensive solution for digital pathology, while also implementing the latest technology in deep learning. Sign up for your free trial of IKOSA now!

?? Read up in our blog post on the numerous benefits of integrating these digital tools into your workflow to ensure efficiency in your lab or to facilitate learning.

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