Biological Materials Imaging
Biological Materials Imaging - Related Videos
11:57
Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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Cited by 5 •
2013
We present a non-destructive method for sampling spatial variation in the direction of light scattered from structurally complex materials. By keeping the material intact, we preserve gross-scale scattering behavior, while concurrently capturing fine-scale directional contributions with high-resolution imaging. Results are visualized in software at biologically-relevant positions and scales.
09:02
SEM Imaging of Biological Samples
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2023
Source: Peiman Shahbeigi-Roodposhti and Sina Shahbazmohamadi, Biomedical Engineering Department, University of Connecticut, Storrs, Connecticut A scanning electron microscope (SEM) is an instrument that uses an electron beam to nondestructively image and characterize conductive materials in a vacuum. As an analogy, an electron beam is to the SEM as light is to the optical microscope. The difference is that the electron microscope yields images of much higher resolution and magnification. The...
10:28
Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
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Cited by 5 •
2017
This paper presents a series of protocols for developing engineered cells and functionalized surfaces that enable synthetically engineered E. coli to control and manipulate programmable material surfaces.
11:32
Fabrication of Biologically Derived Injectable Materials for Myocardial Tissue Engineering
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Cited by 14 •
2010
Methods for preparing an injectable matrix gel from decellularized tissue and injecting it into rat myocardium in vivo are described.
11:38
Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
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Cited by 10 •
2017
Segmentation of three-dimensional data from many imaging techniques is a major bottleneck in analysis of complex biological systems. Here, we describe the use of SuRVoS Workbench to semi-automatically segment volumetric data at various length-scales using example datasets from cryo-electron tomography, cryo soft X-ray tomography, and phase contrast X-ray tomography techniques.
FAQs
Contrast selection determines which material feature becomes visible. Differences in composition, density, optical behavior, or mechanical response can each generate image contrast, so the imaging system should match the property of interest. This matters when researchers need to distinguish internal architecture, characterize biomaterial behavior, or relate a visible structural difference to material performance.
Different biological and engineered features become meaningful at different size ranges, from nanoscale components to whole tissues. Imaging across multiple length scales helps connect local organization with larger material architecture instead of treating either scale in isolation. For engineering studies, that connection supports more complete evaluation of how structure contributes to scaffold, implant, or device function.
Analysis can link observable features such as organization, density, or structural arrangement with the intended behavior of a material. This relationship helps engineers evaluate whether a scaffold, implant, drug-delivery system, or bioinspired material has an architecture consistent with its functional goals. Imaging therefore supports design decisions based on measured structure rather than appearance alone.
A study generally begins by selecting the material feature and property to evaluate, followed by image acquisition at a suitable length scale and contrast mode. Researchers then analyze the resulting visualization to assess architecture or material changes quantitatively. The findings can be compared across designs or conditions to guide refinement of engineered biomaterials and biomedical devices.
Engineers use these analyses when developing or assessing scaffolds, implants, drug-delivery systems, and bioinspired materials. The approach is especially useful when performance depends on internal structure or interactions with biological environments. By visualizing relevant features, researchers can evaluate whether a design supports its intended role and identify material characteristics that require improvement.
Imaging enables quantitative assessment of how engineered materials change during degradation and how cells interact with their surfaces or internal structures. It can also support evaluation of tissue integration, which is important for understanding how an implant or scaffold performs in a biological setting. These measurements guide improvements in material performance and biomedical device development.