Biotech

Realizing Cellino's Vision of

Revolutionizing Regenerative Medicine

Keywords

Drug Discovery & Development, ML, Laser Physics

Download PDF

Services Rendered

Product Design

Product Engineering

Continuing Design

Tech stack

React, Material UI, deck.gl, Zarr, Apollo GraphQL, Nest.js, TypeORM, PostgreSQL, Docker, Kustomize, Pub/Sub.

Tools

Lucid chart, Cloud Workstation, Confluence, Figma, Jira, Slack, Miro

Series A

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.

iNDUSTRY CHALLENGE

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.

Zemoso’s Partnership Challenge

Co-create an interactive web application that presents cell manufacturing data such as high-resolution microscopy images:

Enable Cellino to present a tangible version of its idea to their investors and the advisory board.
Accelerate the MVP launch of their research-grade stem cell manufacturing platform.
Take a time-boxed approach to meet delivery and innovation milestones, on time.

Impact created

Zemoso's self-organized pods accelerated Cellino’s road to discovery significantly and streamlined the process with the AIMS prototype. The solution also enabled Cellino to present a tangible version of its idea to their investors and the advisory board, even before the clinical-grade platform goes into action.

What are our clients saying?

Our clients love what we do:

I was very impressed with the speed at which Zemoso operated, starting from our first conversational engagement to setting up a team and completing our Design exercise along with a proof of concept to visualize our complex datasets using interactive web technologies. We didn’t hesitate to continue with several development engagements where Zemoso provided a top-notch scrum team to work very closely with our internal teams, always delivering with the mindset of maximum satisfaction. Their understanding of the complexities of an evolving solution and ability to pivot with acute urgency makes them a solid software development partner for any start-up and business out there.

Ozge Whiting, VP of Data and Machine Learning

Cellino

How do we do this?

Heading 1

Heading 2

Heading 3

Heading 4

Heading 5

Heading 6

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Block quote

Ordered list

Item 1
Item 2
Item 3

Unordered list

Item A
Item B
Item C

Text link

Bold text

Emphasis

^Superscript

_Subscript

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:

Data capture and management

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.

Rendering images in the image viewer

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.

Play around with Brightfield and Fluorescence images

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.

Collaboration

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.

‍Intuitive UI

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.

CASE STUDIES