Related Experiment Video
Updated: Dec 20, 2025
12:08
Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium
Published on: February 14, 2022
3.2K
Rapid antibiotic susceptibility testing based on bacterial motion patterns with long short-term memory neural
Rafael Iriya1, Wenwen Jing2, Karan Syal2
1School of Electrical, Computer and Energy engineering, Arizona State University, Tempe, AZ, 85287, USA.
IEEE Sensors Journal
|May 23, 2020
Summary
A new optical imaging method rapidly determines antibiotic susceptibility in 30 minutes. This approach tracks bacterial cell motion to classify active and inactive cells, addressing the urgent need for faster antimicrobial resistance testing.
Area of Science:
- Microbiology
- Biophysics
- Medical Technology
Background:
- Antibiotic resistance poses a significant global public health challenge.
- Rapid determination of antibiotic susceptibility is crucial for effective treatment of bacterial infections.
Purpose of the Study:
- To develop and validate a rapid, optical imaging-based method for antibiotic susceptibility testing.
- To create a model capable of classifying bacterial cell activity based on motion patterns.
Main Methods:
- An optical imaging technique was employed to track the motion of individual bacterial cells.
- An image-processing algorithm segmented and tracked cells over time.
- A deep learning model (Long Short-Term Memory network) was utilized to classify cell activity (active vs. inactive).
Main Results:
- The developed model accurately classified bacterial cell activity based on motion.
- Antibiotic susceptibility testing was successfully performed on human urine specimens.
- The method achieved accurate results as quickly as 30 minutes for five common antibiotics.
Conclusions:
- This optical imaging and deep learning approach offers a rapid and accurate method for antibiotic susceptibility testing.
- The technology has the potential to significantly improve patient outcomes by enabling faster treatment decisions.
- This method provides a valuable tool in the fight against rising antimicrobial resistance.
