Imaging Platform
Imaging Platform - Related Videos
06:25
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
0 Views •
2014
A method for overcoming the optical diffraction limit is presented. The method includes a two-step process: optical phase retrieval using iterative Gerchberg-Saxton algorithm, and imaging system shifting followed by repetition of the first step. A synthetically increased lens aperture is generated along the direction of movement, yielding higher imaging resolution.
09:23
Imaging the Root Hair Morphology of Arabidopsis Seedlings in a Two-layer Microfluidic Platform
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Cited by 11 •
2017
This article demonstrates how to culture Arabidopsis thaliana seedlings in a two-layer microfluidic platform that confines the main root and root hairs to a single optical plane. This platform can be used for real-time optical imaging of fine root morphology as well as for high-resolution imaging by other means.
07:53
µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo
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Cited by 2 •
2021
The article introduces the µTongue (microfluidics-on-a-tongue) device for functional taste cell imaging in vivo by integrating microfluidics into an intravital imaging window on the tongue.
09:00
A Microfluidic Platform for Longitudinal Imaging in Caenorhabditis elegans
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Cited by 7 •
2018
In this article, we demonstrate live imaging of individual worms employing a custom microfluidic device. In the device, multiple worms are individually confined to separate chambers, allowing multiplexed longitudinal surveillance of various biological processes.
07:42
A High-Throughput Platform for Culture and 3D Imaging of Organoids
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Cited by 4 •
2022
This paper presents a fabrication protocol for a new type of culture substrate with hundreds of microcontainers per mm2, in which organoids can be cultured and observed using high-resolution microscopy. The cell seeding and immunostaining protocols are also detailed.
FAQs
They can integrate light, fluorescence, or electron microscopy with labels, time-lapse acquisition, and image-processing methods. This combination lets investigators examine immune cells, pathogens, and molecular markers from complementary visual perspectives rather than relying on a single measurement. The resulting datasets can connect cellular behavior with pathogen location, tissue damage, and host responses under defined experimental conditions.
Fluorescent labels help distinguish molecular markers, immune cells, or pathogens within biological samples. When paired with fluorescence microscopy, they make selected targets visible and allow their locations or changes to be followed over time. This is especially useful for examining host-pathogen interactions because researchers can relate marker distribution to cellular behavior and broader immune responses.
Time-lapse acquisition preserves the temporal dimension of biological events, allowing researchers to follow changes rather than examining only a single moment. Image-processing algorithms then help interpret the captured visual information and support quantitative analysis. Together, these capabilities can turn observations of immune-cell behavior, pathogen localization, or tissue damage into measurements suitable for comparison across defined conditions.
Spatial context comes from retaining where cells, pathogens, and molecular markers are positioned within a sample, while temporal context comes from recording changes through time. Maintaining both dimensions helps researchers relate location to behavior and progression. In immunology and infection studies, this can clarify how host responses, pathogen distribution, and tissue damage occur in relation to one another.
A typical workflow establishes defined sample conditions, selects an appropriate microscopy mode, applies relevant fluorescent labels when needed, and captures images or time-lapse sequences. Researchers then use image-processing and analytical methods to interpret the visual data. The workflow can produce measurements of immune-cell behavior, pathogen localization, molecular markers, tissue damage, or host responses.
Researchers may use these systems to study host-pathogen interactions, assess immune responses, investigate pathogen localization, or measure tissue damage. Imaging platforms also support infection diagnosis and drug evaluation, while high-content approaches can generate quantitative information across many visual features. Their value lies in linking visual observations with measurable biological outcomes under controlled conditions.