Related Experiment Video
Updated: Mar 20, 2026
11:14
Isolating LacZ-expressing Cells from Mouse Inner Ear Tissues using Flow Cytometry
Published on: December 23, 2011
11.8K
Label-Free Classification of Bax/Bak Expressing vs. Double-Knockout Cells
Mohammad Naser1, Michelle T Graham2, Kamau Pierre1
1Department of Biomedical Engineering, Rutgers University, 599 Taylor Road, Piscataway, NJ, 08854, USA.
Annals of Biomedical Engineering
|June 4, 2016
Summary
This study uses optical scatter imaging and principal component analysis (PCA) to differentiate cells with defective apoptosis pathways from normal cells. The label-free method achieved 94.7% accuracy in classifying Bax/Bak-expressing and Bax/Bak-null cells.
Area of Science:
- Biophysics
- Cell Biology
- Optical Imaging
Background:
- Apoptosis is a crucial cellular process.
- Defects in apoptosis are linked to diseases like cancer.
- Distinguishing between apoptosis-competent and -resistant cells is important for research.
Purpose of the Study:
- To develop a label-free method for classifying cells based on their apoptosis status.
- To differentiate between Bax/Bak-expressing (apoptosis-competent) and Bax/Bak-null (apoptosis-resistant) cells.
Main Methods:
- Combined optical scatter imaging with principal component analysis (PCA).
- Applied PCA to dark-field cell images filtered with Gabor filters across various periods.
- Constructed a reduced-dimension Feature Matrix from cell images and eigencell images.
- Utilized supervised linear discriminant analysis for classification.
Main Results:
- Successfully classified Bax/Bak-expressing and Bax/Bak-null cells with 94.7% accuracy and an AUC of 0.993.
- Identified significant Gabor filter periods corresponding to nuclear and cytoplasmic features.
- Demonstrated that label-free optical scatter data can differentiate cells with apoptosis pathway defects.
Conclusions:
- Optical scatter imaging combined with PCA offers a powerful label-free approach for cell classification.
- The method can distinguish cells with genetic defects in apoptosis.
- This technique has potential applications in biological research and diagnostics.
