Ccd Camera
Ccd Camera - Related Videos
07:41
RGBradford: Protein Quantitation with a Smartphone Camera
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Cited by 1 •
2023
This paper provides a protocol for protein quantification using the Bradford assay and a smartphone as an analytical device. Protein levels in samples can be quantified using color data extracted from a picture of a microplate taken with a smartphone.
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.
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.
09:34
Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera
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Cited by 7 •
2023
This study presents a semi-automated digital image analysis procedure for the planimetric quantification of disclosed dental plaque based on images acquired with an intraoral fluorescence camera. The method allows for the rapid and reliable quantification of dental plaque in the research environment.
05:12
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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2021
The human depth perception of 3D stereo videos depends on the camera separation, point of convergence, distance to, and familiarity of the object. This paper presents a robotized method for rapid and reliable test data collection during live open-heart surgery to determine the ideal camera configuration.
FAQs
Each pixel accumulates charge in proportion to the light it receives after photons generate electrons. The stored charges then move across the chip in sequence for readout. Electronic conversion transforms those charges into digital intensity values, preserving a position-linked pattern that can be analyzed as an image and compared quantitatively across pixels.
High sensitivity allows the camera to record weak signals from biological samples, including fluorescence images where available light may be limited. Spatial resolution preserves differences in where signal appears, while digital intensity values support quantitative analysis rather than visual documentation alone. These properties help investigators examine cells, tissues, and microorganisms when signal strength and location both matter.
In microscopy, images can support measurements of a specimen’s location, shape, and signal intensity. These outputs let researchers move beyond a descriptive picture to compare where structures occur, how their morphology appears, and how strongly a region is represented in the image. The same measurement-oriented approach applies to bright-field, phase-contrast, and fluorescence recordings.
A biological imaging workflow can begin by selecting bright-field, phase-contrast, or fluorescence microscopy for the sample being examined. The camera records the resulting light pattern, and its electronic output provides digital intensity values. Researchers can then inspect those values and image features to evaluate location, shape, or signal intensity according to the experimental question.
Cells, tissues, and microorganisms are all suitable subjects for CCD camera imaging in microscopy. This range supports observations across different biological sample types while retaining a digital record for analysis. Depending on the microscopy approach, investigators can document visible structure or recorded signal intensity and use the resulting images to characterize biological features.
A CCD camera is especially valuable when a biological investigation requires documentation of dynamic cellular processes. Sensitive, spatially resolved recordings can show how cellular features are positioned, shaped, or represented by signal during observation. Researchers can therefore use image data to support quantitative examination of cellular behavior rather than relying only on visual description.