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.
10:45
A Simple Microfluidic Chip for Long-Term Growth and Imaging of Caenorhabditis elegans
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Cited by 1 •
2022
The protocol describes a simple microfluidic chip design and microfabrication methodology used to grow C. elegans in presence of a continuous food supply for up to 36 h. The growth and imaging device also enables intermittent long-term high-resolution imaging of cellular and sub-cellular processes during development for several days.
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.
06:12
Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
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Cited by 6 •
2023
This paper proposes a new generation of multiparametric analytical platforms with increased throughput for the characterization of extracellular vesicle subsets. The method is based on a combination of multiplexed biosensing methods with metrological and morphomechanical analyses by atomic force microscopy, coupled with Raman spectroscopy, to qualify vesicular targets trapped on a microarray biochip.
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.