Mobile Device Imaging
Mobile Device Imaging - Related Videos
08:40
Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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Cited by 3 •
2022
Ion mobility spectrometry (IMS) is an interesting complement to mass spectrometry for the characterization of biomolecules, notably because it is sensitive to isomerism. This protocol describes a tandem IMS (IMS/IMS) experiment, which allows the isolation of a molecule and the generation of the mobility profiles of its fragments.
10:32
Simple Microfluidic Devices for in vivo Imaging of C. elegans, Drosophila and Zebrafish
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Cited by 31 •
2012
A simple microfluidic device has been developed to perform anesthetic free in vivo imaging of C. elegans, intact Drosophila larvae and zebrafish larvae. The device utilizes a deformable PDMS membrane to immobilize these model organisms in order to perform time lapse imaging of numerous processes such as heart beat, cell division and sub-cellular neuronal transport. We demonstrate the use of this device and show examples of different types of data collected from different model systems.
08:29
Thermal Measurement Techniques in Analytical Microfluidic Devices
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Cited by 6 •
2015
Here, we present three protocols for thermal measurements in microfluidic devices.
07:13
Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Cited by 3 •
2023
The combination of multiple imaging modalities is often necessary to gain a comprehensive understanding of pathophysiology. This approach utilizes phantoms to generate a differential transformation between the coordinate systems of two modalities, which is then applied for co-registration. This method eliminates the need for fiducials in production scans.
06:57
Electrophoretic Mobility Shift Assay (EMSA)
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2023
The electrophoretic mobility shift assay (EMSA) is a biochemical procedure used to elucidate binding between proteins and nucleic acids. In this assay a radiolabeled nucleic acid and test protein are mixed. Binding is determined via gel electrophoresis which separates components based on mass, charge, and conformation. This video shows the concepts of EMSA and a general procedure, including gel and protein preparation, binding, electrophoresis, and detection. Applications covered in this video...
FAQs
Image formation depends on a linked sequence of optical, electronic, and computational stages. After the sensor converts incoming photons into electronic signals, onboard processing calibrates the data, applies enhancement, compresses the result, and stores it for later sharing or analysis. Because each stage changes the recorded information, engineers should treat the final image as processed data rather than an untouched optical record.
Calibration helps prepare sensor output for subsequent use, while enhancement changes how visual information is represented and compression reduces the stored file. These operations serve different purposes and can affect how an image is interpreted. Computational imaging adds another layer by using processing to extend measurement and diagnostic value beyond what basic photography alone provides.
The lens and sensor establish the initial capture conditions, but the processor determines how that capture is refined and retained. Improvements in sensors can increase the potential measurement and diagnostic value of mobile device imaging, especially when combined with computational imaging. This relationship explains why engineering performance depends on both physical hardware and the processing applied after capture.
During a field inspection, an engineer can capture equipment or site imagery with a portable connected device, retain the processed image, and share it with collaborators for remote review. Onboard calibration, compression, enhancement, and storage occur within the imaging workflow. This makes the device useful when visual evidence must be collected and communicated outside a fixed laboratory setting.
Mobile Device Imaging is particularly relevant when equipment must be monitored in the field rather than documented only at a fixed workstation. Images can be captured with a portable device, processed onboard, stored, and shared for analysis. The resulting visual information supports equipment monitoring and remote collaboration, linking physical engineering conditions with people who may not be at the inspection site.
Computational imaging broadens engineering use beyond ordinary photography by combining captured visual information with processing intended to increase measurement or diagnostic value. In practice, this can support field inspection, dimensional documentation, and equipment monitoring when visual evidence needs further analysis. Its importance lies in turning a stored image into a resource for engineering interpretation and communication.