Vision Language Models for Instance Segmentation and Tracking
Vision Language Models for Instance Segmentation and Tracking
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Instance Segmentation
Instance Segmentation
At BioAIx, we are pioneering the fusion of artificial intelligence and biomedical research to revolutionize healthcare diagnostics and scientific discovery. Our mission is to develop AI-driven solutions that enhance microscopy analysis, medical imaging, and biosensing, pushing the boundaries of precision medicine and automation in life sciences.
Tracking with Trackpy
Tracking with Trackpy
The vision-language model integrates TrackPy, a powerful Python library for particle tracking, to enable dynamic cell tracking and analysis over time. By combining instance segmentation with TrackPy's robust tracking algorithms, the model can monitor individual cells across multiple frames of time-lapse microscopy or video data. This allows researchers to study cell migration, proliferation, and interaction patterns with unparalleled precision. The model not only visualizes these trajectories but also generates detailed, interpretable reports using natural language processing, providing insights into cellular behavior and dynamics. Whether you're studying cancer cell motility, immune cell interactions, or developmental biology, our vision-language model with TrackPy integration offers a comprehensive solution for tracking and analyzing cells, empowering you to uncover critical insights and advance your research.
Cell Tracking Path Analysis
Cell Tracking Path Analysis
The vision-language model offers advanced cell tracking path analysis, enabling researchers to study the movement and behavior of individual cells over time with exceptional precision. By leveraging sophisticated tracking algorithms, the model captures detailed trajectories of cells, analyzing parameters such as speed, directionality, and migration patterns. This capability is particularly valuable for studying dynamic biological processes, such as cancer cell invasion, immune cell response, or neuronal development. Integrated with natural language processing, the model not only visualizes these paths but also generates comprehensive, interpretable reports that highlight key insights and trends. Whether you're investigating cell motility, tissue regeneration, or drug response, our cell tracking path analysis provides a powerful tool to unlock deeper understanding and drive innovation in biomedical research.
API Platform
API Platform
Additional Analysis
Additional Analysis
Our API Platform provides seamless access to our state-of-the-art AI model, designed to revolutionize medical image analysis and beyond. By connecting to our API, developers, researchers, and businesses can integrate advanced AI capabilities into their applications, enabling tasks such as image segmentation, feature extraction, and intelligent analysis with just a few lines of code. With flexible pricing plans tailored to meet the needs of individuals, startups, and enterprises, our platform ensures affordability and scalability for all users. Whether you're building healthcare solutions, research tools, or innovative applications, our API empowers you to harness the power of AI effortlessly, driving efficiency, accuracy, and innovation in your projects. Join us in shaping the future of AI-driven solutions.
In addition to cell tracking and path analysis, our vision-language model offers a suite of advanced analytical tools to provide deeper insights into cellular behavior and dynamics. These include quantitative measurements of cell morphology, such as area, perimeter, and circularity, as well as spatial analysis to study cell distribution and clustering within tissues. The model also supports temporal analysis, enabling the study of cell division rates, apoptosis, and response to external stimuli over time. Integrated with natural language processing, the system generates detailed, interpretable reports that summarize key findings and trends, making complex data accessible and actionable. Whether you're exploring cell-cell interactions, tissue organization, or experimental outcomes, our additional analysis tools empower you to uncover critical insights and accelerate your research with precision and clarit
1.mp4Segmentation and Tracking of Monocytes. | Video by Soumyajit Podder.
2.mp4Segmentation and Tracking of Endothelial Cells. | Video by Soumyajit Podder.
Path Tracking of Endothelial cells. | Image by Soumyajit Podder.
Quantitative Analysis, Biomedical Interpretation, and Reference Ranges of Endothelial cells. | Image by Soumyajit Podder.
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Join the team
Join the team
I am looking for a collaborative, innovative, and driven teammate who is passionate about leveraging AI and machine learning to solve complex problems in healthcare and biomedical research. Ideally, you have strong technical skills in areas such as computer vision, natural language processing, or data analysis, along with a curiosity to explore new ideas and approaches. Excellent communication and teamwork abilities are essential, as we value open dialogue and shared problem-solving. A proactive mindset, attention to detail, and a commitment to continuous learning will help us push boundaries and achieve impactful results together. If you're excited about advancing cutting-edge technologies and making a difference in the world, let's build something extraordinary as a team!
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