Nano-computed tomography (nano-CT) is an advanced imaging technology that provides extraordinarily detailed, three-dimensional views of microscopic structures at the nanoscale. This sophisticated variation of traditional computed tomography (CT) harnesses enhanced resolution capabilities to visualise objects’ internal architecture with a transformative precision for fields ranging from materials science to biomedicine.
The core principle of nano-CT is akin to that of standard CT scans used in medical diagnostics, but it operates at a much finer scale. The technique involves directing X-rays at an object and capturing various internal structures’ different degrees of absorption as the object rotates. These variations are compiled to construct detailed cross-sectional images, or slices, which can then be digitally reassembled into a comprehensive 3D representation.
One of the primary benefits of nano-CT is its non-destructive nature, allowing researchers to examine samples without altering or damaging them. This is particularly advantageous in the study of delicate biological tissues, nanomaterials, and components in microelectronics, where any interference could compromise the integrity of the subject.
In material science, nano-CT provides invaluable insights into composite materials’ pore structures and fibre alignments. By understanding these microstructures in exhaustive detail, scientists can predict and enhance the mechanical properties of materials, such as their strength, flexibility, and conductivity. Similarly, in the area of geology, researchers utilise nano-CT to study the fine-grained sedimentary structures and fossil inclusions within rocks, which sheds light on geological processes and historical climatic conditions.
The field of biology also reaps significant benefits from nano-CT technology. It enables the detailed examination of cellular structures, virus particles, and tissue organization at an unachievable resolution with conventional microscopy. Such capabilities are crucial for advancing our understanding of complex biological systems and diseases.
Even though it has many applications, the implementation of nano-CT faces challenges, including high equipment costs and the computational demands of processing large datasets. Moreover, the intense focus of the X-ray beam can sometimes induce damage in highly sensitive samples.
Nonetheless, as technology advances and becomes more accessible, nano-CT is set to revolutionise our capability to explore and understand the minutiae of the natural and engineered worlds, providing a window into realms that remain beyond the reach of conventional imaging techniques.
You are here:
home »
By | 5 minutes of readingDeep learning-based SR-DLR significantly enhances coronary CT angiography image quality by improving spatial resolution and reducing noise in phantom studies.
Deep Learning Enhances Coronary CT Angiography: A Phantom Study Read Post »
