Multi-position Imaging
Multi-position Imaging - Related Videos
14:25
Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Cited by 7 •
2013
A technique for performing quantitative three-dimensional (3D) imaging for a range of fluid flows is presented. Using concepts from the area of Light Field Imaging, we reconstruct 3D volumes from arrays of images. Our 3D results span a broad range including velocity fields and multi-phase bubble size distributions.
10:18
High-Throughput, Multi-Image Cryohistology of Mineralized Tissues
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Cited by 117 •
2016
In this manuscript, we present a high-throughput, semi-automated cryohistology platform to produce aligned composite images of multiple response measures from several rounds of fluorescent imaging on frozen sections of mineralized tissues.
06:50
Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization
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Cited by 1 •
2023
Here, we present a protocol to allow providers to perform focused cardiac ultrasound (FoCUS) in the clinical environment. We describe methods of transducer manipulation, review common pitfalls of transducer movements, and suggest tips to optimize phased array transducer use.
07:35
The Multi-group Experiment
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University A multi-group design is an experimental design that has 3 or more conditions/groups of the same independent variable. This video demonstrates a multi-group experiment that examines how different interethnic ideologies (multiculturalism and color-blind) influence feelings about diversity and actions toward and out-group member. In providing an overview of how a researcher conducts a multi-group...
02:32
Position-effect Variegation
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2020
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
FAQs
The motorized stage moves the sample between predefined positions, allowing the microscope to revisit multiple sites during coordinated acquisition. Because imaging conditions remain consistent across those locations, researchers can compare changes over time without restricting observation to one field. This supports synchronized time-lapse monitoring of spatially separated events within the same specimen.
Predefined positions establish the spatial sampling plan before acquisition. They let investigators monitor selected sites repeatedly, preserving temporal information while extending observation across a specimen. This matters when biological behavior is unevenly distributed, because a single field may not represent the broader culture or tissue and may overlook localized changes.
By collecting data from spatially distributed sites, Multi-position Imaging provides a broader basis for comparing biological changes within a culture or tissue. Researchers can examine whether immune activity or infection-associated changes occur broadly or remain localized. The resulting multi-site record supports quantitative analysis of heterogeneous responses rather than relying on observations from one field alone.
In infection studies, researchers can use the method to follow host-pathogen interactions and infection progression at several locations across a culture or tissue. Viewing these events across space can show whether changes are widespread or localized. That spatial context helps connect infection-related behavior with the heterogeneous responses present in the specimen.
Researchers define the locations to be monitored, program the motorized stage to move among those positions, and coordinate image acquisition at each site. Repeated recording over time then creates a multi-position time-lapse dataset. Maintaining consistent imaging conditions across locations makes the resulting observations more suitable for comparison and quantitative analysis.
Tracking multiple sites over time allows researchers to examine immune-cell migration in spatial context rather than at a single location. The approach can preserve temporal information while expanding coverage across a culture or tissue. This combination helps reveal where migration-related activity occurs and how observed behavior may vary between sampled regions.