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Updated: Jan 1, 2026

Autofluorescence Imaging to Evaluate Cellular Metabolism
Published on: November 15, 2021
Tracking metabolic dynamics of apoptosis with high-speed two-photon fluorescence lifetime imaging microscopy
Andrew J Bower1,2, Janet E Sorrells1,3, Joanne Li1,3
1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Abstract:
Programmed cell death, or apoptosis, is an essential process in development and homeostasis, and disruptions in associated pathways are responsible for a wide variety of diseases such as cancer, developmental abnormalities, and Alzheimer's disease. On the other hand, cell death, in many cases, is the desired outcome of therapeutic treatments targeting diseases such as cancer. Recently, metabolic imaging based on two-photon fluorescence microscopy has been developed and shown to be highly sensitive to certain cell death processes, most notably apoptosis, thus having the potential as an advanced label-free screening tool. However, the typically low acquisition rates of this imaging technique have resulted in a limited throughput approach, allowing only a small population of cells to be tracked at well-separated time points. To address this limitation, a high-speed two-photon fluorescence lifetime imaging microscopy (2P-FLIM) platform capable of video-rate imaging is applied to study and further characterize the metabolic dynamics associated with cell death. Building upon previous work demonstrating the capabilities of this system, this microscope is utilized to study rapid metabolic changes during cell death induction, such as dose-dependency of metabolic response, response in invasive vs. noninvasive cancer cells, and response in an apoptosis-resistant cell line, which is further shown to undergo autophagy in response to toxic stimuli. Results from these experiments show that the early apoptosis-related metabolic dynamics are strongly correlated with important cellular parameters including responsiveness to apoptosis-inducing stimuli. The high speed and sensitivity of the presented imaging approach enables new investigations into this highly dynamic and complex process.
Insights
High-speed metabolic imaging tracks cell death dynamics. This advanced technique reveals early apoptosis changes, aiding disease research and therapeutic development for conditions like cancer.
Area of Science:
- Cell Biology
- Biophysics
- Medical Imaging
Background:
- Programmed cell death (apoptosis) is crucial for development and health, with disruptions linked to diseases like cancer and Alzheimer's.
- Therapeutic strategies, particularly for cancer, often aim to induce cell death.
- Current metabolic imaging methods for cell death are sensitive but limited by low throughput.
Purpose of the Study:
- To apply a high-speed two-photon fluorescence lifetime imaging microscopy (2P-FLIM) platform for studying rapid metabolic changes during cell death.
- To characterize dose-dependency, cancer cell invasiveness, and apoptosis resistance in metabolic responses to cell death induction.
- To correlate early apoptosis-related metabolic dynamics with cellular responsiveness.
Main Methods:
- Utilized a high-speed 2P-FLIM system capable of video-rate imaging.
- Studied metabolic dynamics during induced cell death in various cancer cell types, including an apoptosis-resistant line.
- Analyzed dose-dependent metabolic responses and compared invasive versus non-invasive cancer cells.
Main Results:
- Demonstrated that 2P-FLIM can capture rapid metabolic changes associated with cell death.
- Observed distinct metabolic responses in invasive vs. non-invasive cancer cells and in apoptosis-resistant cells undergoing autophagy.
- Found strong correlations between early apoptosis-related metabolic dynamics and cellular responsiveness to apoptosis-inducing stimuli.
Conclusions:
- High-speed 2P-FLIM enables detailed investigation of complex, dynamic metabolic processes during cell death.
- The imaging approach offers a sensitive, label-free tool for studying disease mechanisms and therapeutic responses.
- Metabolic dynamics provide insights into cellular sensitivity and resistance to cell death pathways.

