16
 JUL

16. July 2024

How Artificial Intelligence Revolutionizes Spatial Phenotyping

Through the power of spatial phenotyping, we gain the ability to shine a spotlight on different cell types and their environments. 

The arrangement of cells is key to how they interact with each other. Ultimately, it is the structure of cell communities that can impact processes, such as how our body can resist the creation of irregular cells. Spatial phenotyping can offer insights into these cell communities, including appearance of clusters, cell-to-cell interactions and distances between different cell types.

With that said, one question that you may be considering is how can we increase the capabilities of spatial phenotyping. Well, the answer is artificial intelligence (AI).

AI in spatial phenotyping can be used to detect individual cells as well as tissue substructures with high accuracy and to classify even the most complex cellular phenotypes (by using high amount markers or other characteristics). These methods guarantee high accuracy and efficiency when bringing the detected phenotypes in context to their cellular or tissue structure neighborhood.

Here at TissueGnostics, we understand the importance of incorporating AI into spatial phenotyping since it increases drastically user input and therefore saves time and resources. With that said, StrataQuest, our contextual image analysis software, uses AI for two critical functionalities: tissue classification and nuclei segmentation. And additional AI features are already on the way.

StrataQuest can offer profound insights into the cellular organization within tissue specimens (processed by immunofluorescence or immunohistochemistry) by utilizing the combined power of AI and spatial phenotyping. Read on to learn about our cutting-edge AI and spatial phenotyping technology and how they can be applied to nuclei segmentation and tissue classification.

Precision at its Core: Nuclei Segmentation

Nuclei segmentation is the basis of cellular analysis, enabling researchers to detect cells within different types of tissues. The cells can further be classified into different cell classes based on markers or morphological characteristics. The AI-driven approach within StrataQuest transforms this task to an automated, highly accurate operation. 

This capability of StrataQuest is vital for understanding cellular behaviors and alterations in numerous biological contexts, from developmental biology to the progression of diseases, such as cancer.

Unveiling Tissue Complexity: Tissue Classification

Beyond individual cells, the spatial arrangement of cells and composition of tissues provide critical insights into physiological functions and pathological states. 

StrataQuest's further has an AI tissue classifier for the classification of different tissue types, enabling an automated identification and categorization of various tissues within a sample. Using minimal user input it is possible to classify tissues into different categories (e.g. blood vessels, epithelium, stroma). This process is instrumental in performing spatial phenotyping in different tissue classes. It offers an insight into the structural organization that underpins tissue characteristics and functionality. 

Whether examining epithelial layers, connective tissue, or the intricate networks of nervous tissue, StrataQuest's AI-driven tissue classification empowers researchers to unravel the spatial phenomics of health and disease.

The StrataQuest Difference

By focusing on nuclei segmentation and tissue classification, StrataQuest offers targeted, high-value applications of AI for spatial phenotyping. It steers clear of broader and unspecified functionalities.

This approach aligns with TissueGnostics’ strategy of delivering precise, reliable, and user-friendly tools for the scientific community. StrataQuest ensures that researchers can leverage the benefits of AI. Our software's capabilities are designed to meet the specific needs of spatial phenotyping.

Are You Ready to Utilize the Abilities of StrataQuest? 

StrataQuest imaging software is at the forefront of innovation for spatial phenotyping. It can offer you insights into different cells and the formation of tissues, and examine images that utilize fluorescence. This software can also be easily tailored and adapted to suit your research.

Browse through the products on our website to see our range of equipment and applications. We are dedicated to bringing you the latest information on imaging cells and tissues as well as in-depth analysis solutions. If you are wondering where to start, begin with our webinar on the spatial dynamics of the human tumor immune environment (TIME).

If you have any questions about our webinar, please contact us to speak to our experts. They would be more than happy to provide you with new updates about imaging software and spatial phenotyping.