Fluorescence Imaging Camera
Fluorescence Imaging Camera - 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.
06:46
Non-invasive In Vivo Fluorescence Optical Imaging of Inflammatory MMP Activity Using an Activatable Fluorescent Imaging Agent
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Cited by 4 •
2017
This paper explains the application of fluorescent imaging using an activatable optical imaging probe to visualize the in vivo activity of key matrix metalloproteinases in two different experimental models of inflammation.
10:30
Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
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Cited by 4 •
2013
Dual camera emission splitting systems for two-color fluorescence microscopy generate real-time image sequences with exceptional optical and temporal resolution, a requirement of certain live cell assays including parallel plate flow chamber adhesion assays. When software is employed to merge images from simultaneously acquired emission channels, pseudocolored image sequences are produced.
06:42
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
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Cited by 32 •
2013
We review our recent results on the integration of fluorescent microscopy and imaging flow cytometry tools on a cell-phone using compact and cost-effective opto-fluidic attachments. These cell-phone based micro-analysis devices might be useful for cytometric analysis, such as performing various cell counting tasks as well as for high-throughput screening of e.g., water samples in resource limited settings.
05:31
Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
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Cited by 4 •
2020
Cavitation microbubbles are imaged using a high-speed camera attached to a zoom lens. The experimental setup is explained, and image analysis is used to calculate the area of the cavitation. Image analysis is done using ImageJ.
FAQs
The filters separate the light used to illuminate a specimen or patient from the weaker fluorescence produced afterward. An excitation filter selects the illuminating wavelength, while an emission filter blocks that excitation light and transmits the emitted signal toward the sensor. This separation helps preserve contrast so labeled structures remain distinguishable in the recorded image.
After the optical system isolates the emitted fluorescence, the camera sensor receives the signal and converts it into a digital image. That conversion allows the recorded pattern to be examined as spatial information across the field and compared over time. The resulting images can therefore support visualization of changing biological features, not only their location.
Fluorescence imaging can highlight labeled structures or molecular markers that are difficult to distinguish with conventional illumination. Instead of relying only on the appearance produced by ordinary lighting, the camera records signal from fluorescently marked features after optical filtering. This selective visualization can improve the recognition and mapping of relevant tissues, cells, or other biological targets.
In medical settings, these cameras can provide spatial and temporal information about tissues, cells, blood flow, and molecular markers. Spatial information shows where a labeled feature is located, while temporal information helps display how a process changes over time. Together, these outputs support observation of biological patterns that may be difficult to assess using conventional illumination alone.
A basic workflow begins by illuminating the specimen or patient with excitation light. The optical path then suppresses the excitation wavelength and transmits the resulting fluorescence to the camera sensor. The sensor converts that signal into a digital image for visualization, detection, or mapping. This sequence links controlled illumination with image formation and interpretation.
The technology is relevant when fluorescent labels or molecular markers must be detected and mapped in biological settings. Its uses described in medicine include research, diagnosis, and image-guided procedures, with applications involving tissues, cells, blood flow, and molecular features. The camera is particularly valuable when conventional illumination does not clearly distinguish the structure or process of interest.