Apolo
Case Studies
EMBL Enhances Microbiology Methods with Deep Learning
Overview
EMBL Enhances Microbiology Methods with Deep LearningApolo |
Analytics & Modeling - Computer Vision Software Analytics & Modeling - Machine Learning | |
Healthcare & Hospitals Life Sciences | |
Product Research & Development | |
Computer Vision Predictive Quality Analytics | |
Data Science Services | |
Operational Impact
Developed DeepCycle, an AI-driven system that models the lifecycle of cells. | |
Used approximately 2.6 million microscopy images of canine kidney cells for the deep learning model. | |
Successfully reconstructed complex biological phenomena based solely on visual data. | |
Quantitative Benefit
Developed a deep learning model using 2.6 million microscopy images. | |
Potential to significantly enhance cancer research through AI-driven cell lifecycle modeling. | |
Opens up new possibilities for understanding complex biological processes. | |