On-chip Imaging
On-chip Imaging - Related Videos
11:46
Using Microfluidics Chips for Live Imaging and Study of Injury Responses in Drosophila Larvae
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Cited by 24 •
2014
Drosophila larvae are an attractive model system for live imaging due to their translucent cuticle and powerful genetics. This protocol describes how to utilize a single-layer PDMS device, called the 'larva chip' for live imaging of cellular processes within neurons of 3rd instar Drosophila larvae.
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.
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,...
08:19
Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics
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Cited by 24 •
2009
Lensfree on-chip imaging and characterization of cells is illustrated. This on-chip cell imaging approach provides a compact and cost-effective tool for medical diagnostics and high-throughput cell biology applications, making it especially suitable for resource poor settings.
FAQs
Image formation can follow either a lens-based path or a lens-free path. A light source illuminates the specimen, and a sensor records the resulting optical signal. When the raw recording does not directly resemble a conventional image, computational reconstruction converts that signal into a view of the sample. Optical hardware and computation therefore work together to produce the observed image.
The light source provides illumination, while lenses or a lens-free path guide how that illumination reaches the sensor. The sensor captures the specimen-related signal, and a microfluidic channel can position or transport samples within the imaging region. Together, these elements connect sample handling with optical recording, allowing cells or particles to be examined in a compact bioengineering device.
Instead of separating illumination, image capture, and sample handling into a complex instrument, on-chip imaging brings these functions into or near a microdevice. This integration can reduce instrument complexity and support portability. It also creates a platform suited to automation and repeated measurements, although the recorded signal may depend on computational reconstruction rather than direct viewing alone.
A typical workflow places a low-volume sample within or near the device, positions the specimen in a microfluidic channel when one is included, and illuminates it with an integrated light source. The sensor then records the optical signal. Finally, computational reconstruction can transform that recording into an image for examining cell morphology, motion, or behavior.
In bioengineering, on-chip imaging can provide observations of cell morphology, motion, and behavior. Morphology concerns the visible form of a cell, while motion and behavior describe how specimens move or act during observation. Because imaging occurs in a compact device and can use low sample volumes, the approach supports measurements that connect visual characteristics with microdevice-based analysis.
The approach is particularly relevant when portability, automation, or reduced instrument complexity matters. Its compact format can support high-throughput measurements and imaging in resource-limited or point-of-care settings. Bioengineering researchers may therefore consider it for applications requiring many observations, limited sample volumes, or analysis outside a conventional laboratory imaging setup.