In this interview, we are talking about Angeline Lim, PhD, a senior application scientist on molecular devices, about the role of AI and automation in modern drug discovery. Angeline shares how molecular devices transform high content depiction and cell culture with AI systems, including the Cellxpress.Ai ™ Automated Cell Culture, which uses mechanical learning to impress complex work flows and make tested tester reproducible.
Could you enter yourself and describe your role on molecular devices?
My name is Angeline Lim and I am a senior application scientist on molecular devices. I am responsible for the development and testing of new workflows and applications in high content imaging systems. I work with high content imaging, 3D biology, image analysis and automation. In recent years, we have begun to explore how AI can solve complex images analysis problems for our customers.
Molecular devices are one of the leading high performance, software and consumable research research providers, pharmaceutical and biotherapeutic development. Included in a wide portfolio of products are platforms for high performance sorting, genomic and cellular analysis, colonial selection and microplans. These top -end products allow scientists to improve productivity and efficiency, ultimately accelerating the research and discovery of new therapeutics. Molecular devices are committed to the continued development of innovative solutions for applications of life science. The company is based in Silicon Valley, California with offices around the world. For more information, visit www.moleculadevices.com.
AI revolutionizes all areas of scientific research. How does molecular devices use to enhance its work flows and support its customers?
On molecular devices, we are passionate about the equipment of next -generation researchers that promotes scientific discovery. We recognize that the AI revolution in biological research and create solutions that allow our customers to use AI’s power in their own laboratories.
To visualize high content in particular, AI helps to address the challenges of complex image analysis. Carta® image analysis software uses AI to reveal and analyze complex phenotypic data. For example, it has a learning -based segmentation tool that can analyze complex or traditionally difficult to analyze images, such as those acquired by brightfield visualization.
Users do not need any encoding or beam experience to start with Carta analysis software. It is intuitive and easy to use – almost like a coloring book. Just signal the items you are interested in (a process known as an commentary) to train AI and then try the model. If the model works well, store and use your image resolution protocol. If it doesn’t, you can re -establish it by adding more commented images. It is a repeat process with human supervision.
This software is also embedded in Cellxpress.AiTm Automated cell culture system.
The Cellxpress.Ai system is a closed, easy -to -use cell cultivation solution that allows our customers to perform simply and Complex cell culture protocols without the need for advanced expertise on the beam or automation.
Using the AI, the Cellxpress.Ai system allows users to standardize cellular cultivation procedures, replacing previously subjective decisions with objective measurements that determine the next stage of the cellular cultivation process, such as the best time for organism or stemocyttes. By removing the subjective assessments that usually differ between individuals, the Cellxpress system improves the reproducibility of cell crops, while allowing manual entry if needed.
With automation comes the need for precision. How is technology trained to avoid errors?
A key advantage of our technology is that it reduces human errors. The system has safeguards in place. Before starting an experiment, the software checks for basics such as sufficient media. If something is missing, the software asks the user to handle any gaps before the experiment is executed. The system will also ask you if it provides that an error will occur as a result of changing data within the process. The system can also send e -mail alerts to inform users of possible errors or simply notify them when an automated decision is taken. The system provides traceability, allowing users to detect the source source, unusual results or infection.
Could you give an example of work flows for the cellxpress system.Ai automated cellular cultivation system?
Before starting, we developed pre-shaped protocols to save time to optimize, especially liquid handling.
We have validated three main work flows, including one for IPSC Culture, which is known high maintenance and requires daily changes in the media. Protocols for these work flows are optimized to ensure that critical elements such as media changes and media passes are automatically displayed. By reducing this manual workload, scientists do not need to come to the laboratory on weekends to maintain their cellular crops.
Another work flow uses spheroids, where we have regulated the exchange of media to avoid destruction or loss of spheroids. Finally, the third was for the intestinal organoids, where we performed the entire 3D cell culture process from sowing and feeding to crossing. The use of AI and automation here face the key reproductivity challenges within 3D biology.
Credit Picture: Molecular devices
What impact do you see in the Cellxpress automated cell culture system to researchers?
I think it will change their lives. I have talked to scientists who wanted to have access to this system when they were at school. They can still complete their work, but return their weekends, focusing more on their science and not the necessary but cosmic manual tasks.
Automation and AI are vital in the discovery of early stage drugs. What do you hope your customers can achieve?
I hope they receive answers faster.
By taking drug failures early, researchers can save a lot of time and money. The use of automation and AI with advanced cellular models helps to predict which compounds will work, so we do not need to rely so much on expensive animal models. In this way, fewer drugs fail during clinical trials, making the development process smoother and more efficient.
For Angeline Lim
Dr. Angeline Lim is a SR. Applications Scientist. In molecular devices, where it specializes in automation, high content visualization and analysis. It mainly works in the development of automated 3D biology work flows and utilizes AI to draw active readings from complex phenotypic tests. It provides scientific support for the portfolio of the company’s High-Content Imaging Systems and their applications in high performance phenotypic profile and 3D models in biology. Dr. Lim has many patents for her work on Auto
The three -dimensional cell culture and has been published in various scientific publications. In addition to her work on molecular devices, she is an active member of the SBI2 Council and manages one of the training courses in SLAS. Dr. Lim has for over 10 years of research experience and holds a doctorate in the molecular hive and development biology from the University of California in Santa Cruz.
