Biotech company collaborated with Zemoso to co-create a solution to fully automate the manufacturing of induced pluripotent stem cell (iPSC)-based cell therapies, making personalized stem cell-derived therapies scalable and accessible.
The manual intervention currently required across the cell manufacturing processes introduces operator variability and makes it challenging to deliver stem-cell based therapies affordably for patients. Scaling autologous and allogeneic stem cell production will be hard if a biologist has to examine these cells by eye, decide which cells were good or bad, and remove unacceptable cells via a pipette tip.
Co-create an interactive web application that presents cell manufacturing data such as high-resolution microscopy images:
We partnered with Cellino to integrate the external lab instrument controller systems and front-end action items with a constantly-improving AI engine, and build an Automation Information Management System (AIMS) to represent all data generated from manufacturing processes of many cell lines. This system would be a listener and viewer for the colossal amounts of data captured, analyzed, and sent over by their instrumentation as well as Artificial Intelligene (AI)/Machine Learning (ML) core. AIMS helped biologists to monitor cell manufacturing processes in the following ways:
Multitudes of data points, including n-dimensional high-resolution, multi-scaled images of cell clusters get sent to AIMS to be converted to human readable form. AIMS ensures a traceable transition, and seamlessly integrates them into existing workflows to identify and nurture the best stem cells.
Our teams worked with Cellino to create a highly capable image viewer for microscopic instrumentation data and other types of inference images. These are high resolution and multiple channel images with layers of AI-derived data such as labels, points, shapes, surfaces, etc. that correspond to a different data type, visualization, and interactivity. The AIMS image viewer renders the massive image data in milliseconds thanks to web optimized tiling and enables zooming to very high resolution layers seamlessly. Users also examine related metadata such as protocols, derived-features and other administrative data in the attribute panel for each data layer.
Biologists can utilize the image viewer to interact with sub-micron resolution images with various modalities at a lightning speed. They can adjust brightness, colormaps, opacity, contrast, select channels, adjust layer blending modes, annotate, draw, and do so much more with the images for observation and inspection of cells.
Our Slack integration makes seamless communication and collaboration across lab technicians, biologists and engineering teams possible as many cell lines are run through the manufacturing platform.
The user-friendly interface of AIMS presents all this data, from manufacturing run information to plate status, in a way that's easy to consume, and even easier to analyze with connections to BI tools. They can then quickly make informed decisions about the quality of each cell cluster and identify next steps of experimentation.
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