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Advancements in NAD(P)H Imaging Techniques

New imaging method enhances depth and clarity in observing living cells.

― 6 min read


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Label-free imaging is important for observing living systems, especially for studying cells and their activities. One method that has gained attention is using two-photon autofluorescence imaging to visualize cellular processes in real-time. This approach focuses on a molecule called NAD(P)H, which is essential for cellular metabolism. However, traditional methods have faced challenges when it comes to viewing deeper tissues due to how light scatters in thick samples.

This article discusses a method that improves how deeply we can image NAD(P)H in living tissues. By using a special type of laser and adapting fiber optics, researchers have successfully increased the depth of imaging from around 300 micrometers to over 700 micrometers. This advancement opens new possibilities for studying complex living systems, especially in areas like cancer research and understanding immune responses.

Importance of NAD(P)H Imaging

NAD(P)H plays a crucial role in energy production within cells. It helps track how cells use energy and react to their surroundings. Being able to view NAD(P)H in living tissues allows researchers to study metabolic activities in real-time. This is particularly valuable in areas like cancer research, where changes in metabolism can indicate how cancer cells behave.

Traditional methods of imaging NAD(P)H have limitations, mainly due to how light penetrates tissue. Deep tissues scatter light more than superficial ones, which makes it challenging to get clear images. As a result, researchers often miss important cellular activities that occur at greater depths.

The Challenge of Depth Penetration

When attempting to image deeper into tissues, researchers find that the signal quality degrades significantly. For example, in typical two-photon imaging, the light used for excitation often struggles to penetrate beyond 300 micrometers. This is a significant barrier, especially in studying thick tissues such as organs or engineered microtissues.

There are two main reasons for this limitation. First, the fluorescence signal from NAD(P)H is weaker than signals from fluorescent dyes often used in imaging. Second, the excitation light required for NAD(P)H imaging tends to scatter more in deeper tissues, further reducing the quality of images.

New Imaging Method

To address these challenges, researchers explored Three-photon Excitation of NAD(P)H at a wavelength of 1100 nanometers. This approach uses a unique light source based on multimode fiber optics. By delivering high-peak-power pulses through this fiber, the researchers achieved a notable increase in imaging depth.

The process involves adjusting the fiber to shape the beam of light in a way that enhances its clarity and reduces scattering. This is achieved by using a compact device that modifies how the light travels through the fiber. As a result, the team could generate sharper images while minimizing background noise, which is crucial for imaging at greater depths.

Key Findings

The research team successfully demonstrated that three-photon excitation at 1100 nanometers allows imaging beyond 700 micrometers deep in living engineered human microtissues. The method showed promising results, providing clearer images and better detection of cellular activities compared to traditional two-photon approaches.

One significant finding was the ability to observe monocyte behavior in real-time using this new imaging method. Monocytes are immune cells that play a key role in fighting infections. By tracking their movements and interactions in living tissues, researchers can gain insights into how immune responses work.

Applications in Medical Research

The new imaging technique holds great promise for various fields of medical research. Some potential applications include:

  1. Cancer Research: Imaging metabolic activity in tumors can help understand how cancer cells grow and spread. This knowledge may lead to more effective treatments.

  2. Autoimmune Diseases: By observing how immune cells behave in different environments, researchers can gain insights into autoimmune diseases and how the immune system can be better regulated.

  3. Tissue Engineering: Understanding how engineered tissues function in real-time can aid in developing better tissue replacement strategies and therapies.

  4. Neurodegenerative Disorders: Observing cellular interactions in brain tissues could improve understanding of diseases like Alzheimer’s and Parkinson’s.

Technical Innovations

The new imaging method's success is attributed to a combination of advanced technology and innovative approaches. The following key innovations helped achieve better imaging results:

  • Multimode Fiber Optics: By using a standard multimode fiber as the light source, researchers made it easier to produce high-peak-power pulses at the desired wavelength of 1100 nanometers.

  • Compact Fiber Shaper: This device adjusts how light propagates through the fiber, creating a more focused and clearer beam that is crucial for deep tissue imaging.

  • High-Peak-Power Pulses: Utilizing ultrashort pulses at high-power levels allows for better interaction with biological samples, leading to improved signal detection.

Comparison with Traditional Methods

When comparing the results of the new three-photon excitation method with traditional two-photon imaging, significant differences were noted. The new technique provides better clarity and allows researchers to visualize deeper tissues without sacrificing image quality.

In tests performed on living microvascular networks, both imaging methods were used on the same tissue site. While traditional two-photon images showed a decline in quality at depths beyond 300 micrometers, the three-photon method maintained a strong signal and clear images even at greater depths.

Moreover, the new imaging method also captures details of cellular structures that were difficult to see in previous approaches. This ability could significantly enhance the study of cellular behaviors and interactions, particularly in complex tissue environments.

Visualizing Living Systems

The ability to visualize living systems dynamically is a game-changer for research. By allowing for real-time observation, researchers can track how cells respond to stimuli, move about, and interact with their neighbors.

For instance, in studies involving monocytes, researchers could document how these immune cells migrate through tissues. This dynamic imaging approach provides insights into immune responses, cell signaling, and how these processes may be affected by diseases.

Summary of Benefits

The new three-photon imaging technique offers several advantages compared to traditional methods:

  1. Deeper Imaging: Ability to image tissues beyond 700 micrometers, allowing more comprehensive studies of complex tissues and organs.

  2. Improved Signal Clarity: Enhanced image quality due to reduced scattering and noise, leading to better observations of cellular activities.

  3. Real-time Monitoring: Capability to capture dynamic cellular interactions as they happen, providing valuable insights into biological processes.

  4. Versatile Applications: The method's implications for various areas of research, including cancer, autoimmune diseases, tissue engineering, and neuroscience.

Conclusion

The advancement in NAD(P)H imaging techniques represents a significant step forward in biological imaging. By utilizing three-photon excitation at 1100 nanometers, researchers have improved the ability to observe living cells in thick tissues. This breakthrough not only enhances our understanding of cellular behaviors but also paves the way for new discoveries in medical research.

As imaging technology continues to develop, the opportunities for applying these techniques in clinical and research settings expand. The potential for deeper insights into complex biological systems holds promise for future advancements in health and medicine.

Original Source

Title: Deep and Dynamic Metabolic and Structural Imaging in Living Tissues

Abstract: Label-free imaging through two-photon autofluorescence (2PAF) of NAD(P)H allows for non-destructive and high-resolution visualization of cellular activities in living systems. However, its application to thick tissues and organoids has been restricted by its limited penetration depth within 300 $\mu$m, largely due to tissue scattering at the typical excitation wavelength (~750 nm) required for NAD(P)H. Here, we demonstrate that the imaging depth for NAD(P)H can be extended to over 700 $\mu$m in living engineered human multicellular microtissues by adopting multimode fiber (MMF)-based low-repetition-rate high-peak-power three-photon (3P) excitation of NAD(P)H at 1100 nm. This is achieved by having over 0.5 MW peak power at the band of 1100$\pm$25 nm through adaptively modulating multimodal nonlinear pulse propagation with a compact fiber shaper. Moreover, the 8-fold increase in pulse energy at 1100 nm enables faster imaging of monocyte behaviors in the living multicellular models. These results represent a significant advance for deep and dynamic metabolic and structural imaging of intact living biosystems. The modular design (MMF with a slip-on fiber shaper) is anticipated to allow wide adoption of this methodology for demanding in vivo and in vitro imaging applications, including cancer research, autoimmune diseases, and tissue engineering.

Authors: Kunzan Liu, Honghao Cao, Kasey Shashaty, Li-Yu Yu, Sarah Spitz, Francesca Michela Pramotton, Zhengpeng Wan, Ellen L. Kan, Erin N. Tevonian, Manuel Levy, Eva Lendaro, Roger D. Kamm, Linda G. Griffith, Fan Wang, Tong Qiu, Sixian You

Last Update: 2024-04-18 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2404.11901

Source PDF: https://arxiv.org/pdf/2404.11901

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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