Imaging Biological Samples with Optical Microscopy
Computed Tomography
Imaging Studies III: Computed Tomography
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Updated: Jun 21, 2026

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
Published on: July 24, 2020
Xing Liang1, Benedikt W Graf, Stephen A Boppart
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, Illinois 61801, USA.
This review examines how advanced optical imaging techniques allow researchers to monitor the growth and behavior of lab-grown tissues in three dimensions without damaging them. By combining structural imaging with functional measurements like tissue stiffness and cellular composition, scientists can better track how these tissues develop over time.
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Area of Science:
Background:
No prior work had resolved the full scope of non-invasive monitoring requirements for complex three-dimensional biological constructs. That uncertainty drove the need for advanced visualization tools in regenerative medicine. Prior research has shown that traditional microscopy often lacks the depth or speed required for longitudinal studies. This gap motivated the adoption of light-based scanning systems. It was already known that tissue development involves intricate cellular movements and material interactions. Researchers previously struggled to capture these transient events in real-time. Scientists required a method to observe internal changes without destroying the samples. This context highlights the transition toward versatile imaging platforms for laboratory-grown structures.
Purpose Of The Study:
The aim of this review is to evaluate the utility of advanced optical imaging for monitoring dynamic changes in three-dimensional engineered tissues. This study addresses the growing requirement for non-invasive methods to track tissue maturation. The authors examine how modern imaging platforms overcome limitations in observing internal cellular processes. They focus on the integration of structural and functional data to improve construct characterization. The motivation stems from the need to better understand cell-material interactions during tissue growth. Researchers seek to identify how specific optical techniques provide complementary information. This work explores the potential of these tools to enhance the clinical reliability of engineered products. The review highlights the transition toward sophisticated imaging strategies in regenerative medicine.
Main Methods:
Review Approach involved a systematic synthesis of current literature regarding non-invasive imaging of biological constructs. The authors evaluated various light-based scanning configurations applied to three-dimensional samples. They examined studies utilizing structural imaging to track longitudinal growth patterns. The analysis included investigations into cellular migration and proliferation events. The researchers assessed the utility of combining different contrast mechanisms to improve image resolution. They reviewed the implementation of elastography for mapping mechanical strain across samples. The team investigated spectroscopic approaches for identifying distinct cellular components. This synthesis focused on identifying the most effective modalities for monitoring dynamic tissue environments.
Main Results:
Key Findings From the Literature indicate that light-based scanning provides a robust framework for visualizing complex three-dimensional constructs. The evidence shows that structural imaging successfully tracks longitudinal development and critical cellular interactions. Studies demonstrate that combining optical coherence microscopy with multiphoton microscopy yields superior structural and functional data. The literature highlights that optical coherence elastography effectively generates maps of strain to reveal biomechanical properties. Research confirms that spectroscopic methods successfully differentiate between various cell types within a construct. These findings show that the technology captures transient events like migration and proliferation without sample damage. The data suggest that multimodal integration offers a significant advantage over single-modality approaches. Overall, the literature confirms that these techniques are highly effective for characterizing the dynamics of engineered biological materials.
Conclusions:
Synthesis and Implications suggest that light-based scanning systems hold significant potential for non-invasive monitoring of laboratory-grown constructs. The authors indicate that these platforms effectively capture complex cellular behaviors over extended periods. Integrating multiple contrast mechanisms provides a more comprehensive view of tissue development than single-mode imaging. The literature shows that mapping biomechanical strain offers valuable insights into the structural integrity of these materials. Researchers propose that spectroscopic methods allow for the identification of distinct cell populations within a sample. These findings imply that such technologies will improve the quality control of engineered biological products. The evidence supports the continued development of multimodal imaging to enhance clinical translation. Future efforts should focus on refining these tools to better characterize the dynamic environment of growing tissues.
The researchers propose that these imaging systems track dynamic cellular behaviors, including migration, proliferation, and detachment, while simultaneously mapping biomechanical strain and identifying specific cell types through spectroscopic contrast.
The authors describe the integration of optical coherence microscopy with multiphoton microscopy, which provides complementary contrast mechanisms to capture both structural and functional information from cells within the engineered environment.
Optical coherence elastography is necessary to generate maps of strain, which allows investigators to quantify the spatially-dependent biomechanical properties of the tissue constructs.
Spectroscopic optical coherence tomography serves as a specialized data type that enables the differentiation of various cell populations, providing chemical or structural contrast not available in standard structural imaging.
The researchers measure longitudinal development, which reflects the temporal progression of tissue growth and the complex interactions occurring between cells and their surrounding scaffold materials.
The authors propose that these imaging technologies are vital for improving the practical and clinical utility of engineered tissues by providing a deeper understanding of the dynamics that influence their maturation.