On-chip Tomography
On-chip Tomography - Related Videos
07:50
Chip-Based Digital PCR to Detect Rare Transcript Variants Using a Nanofluidic Chip
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2025
This video demonstrates chip-based digital PCR — a variation of the digital PCR technique that is useful in detecting rare transcript variants. The PCR reaction is partitioned into the chambers of a nanofluidic chip, each of which acts as an independent reaction. The detection of fluorescence signals from the chambers with amplified targets confirms the presence of rare transcript variants in the sample.
01:35
Organ-on-Chip Models
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2026
Introduction to Organ-on-Chip Models Organ-on-chip models are advanced microphysiological systems that recreate key structural and functional features of human organs in a controlled laboratory setting. These devices integrate living human cells within microfluidic channels, allowing researchers to simulate tissue–tissue interfaces, fluid flow, and mechanical forces that are essential for normal organ function. Unlike traditional cell cultures, which often lack these dynamic physiological cues,...
11:23
Lensless Fluorescent Microscopy on a Chip
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Cited by 8 •
2011
A lensless on-chip fluorescent microscopy platform is demonstrated that can image fluorescent objects over an ultra-wide field-of-view of e.g., >0.6-8 cm2 with <4μm resolution using a compressive sampling based decoding algorithm. Such a compact and wide-field fluorescent on-chip imaging modality could be valuable for high-throughput cytometry, rare-cell research and microarray-analysis.
08:41
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Cited by 11 •
2012
Lensfree optical tomography is a three-dimensional microscopy technique that offers a spatial resolution of <1 μm × <1 μm × <3 μm in x, y and z dimensions, respectively, over a large imaging-volume of 15-100 mm3, which can be particularly useful for integration with lab-on-a-chip platforms.
12:43
On-Chip Endothelial Inflammatory Phenotyping
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Cited by 3 •
2012
Microfluidic flow chambers etched by photolithography and fabricated from PDMS are applied to probe functional outcomes associated with EC dysfunction and inflammation. In a representative experiment, the ability of differential shear stress to modulate monocytic cell adhesion to cytokine activated EC monolayers is demonstrated.
FAQs
The device collects light or other signals from a specimen under multiple positions, angles, or optical conditions. These measurements provide complementary views rather than a single projection, and a computational reconstruction algorithm combines them to estimate internal structure. The quality and usefulness of the resulting three-dimensional information therefore depend on both measurement diversity and reconstruction processing.
Changing the measurement position, viewing angle, or optical condition exposes different aspects of the specimen. Those complementary signals help the reconstruction algorithm distinguish internal features that may be ambiguous in one measurement alone. This principle allows a compact platform to obtain structural information without relying solely on a conventional single-view image, supporting analysis of small biological samples.
Two-dimensional imaging records a projected or surface view, whereas this approach combines measurements acquired under varied conditions to estimate internal structure. That added dimensionality can reveal spatial organization within a specimen rather than only its outline in one plane. The distinction is especially relevant in bioengineering, where cells, microfluidic samples, and organ-on-chip systems may require structural information beyond a flat image.
Computational reconstruction is the step that turns the chip’s set of optical or other signal measurements into an estimated three-dimensional representation. It is not merely an optional display feature, because the measurements must be combined to infer internal structure. Integrating reconstruction with sample handling and imaging can help keep the overall system compact and suited to portable bioengineering platforms.
A workflow first places or manages the specimen on the compact device, then acquires signals under multiple positions, angles, or optical conditions. The collected measurements are subsequently supplied to a reconstruction algorithm, which estimates the sample’s internal structure. This sequence links sample handling, imaging, and computation, allowing small-volume specimens to be analyzed within an integrated bioengineering system.
Researchers may apply the approach to label-free or minimally prepared cell analysis, microfluidic diagnostics, and organ-on-chip research. Its value comes from combining three-dimensional structural information with reduced instrument size and sample requirements. These characteristics can make it relevant when biological experiments involve limited volumes or when imaging must be brought closer to a compact, portable, or integrated platform.