Fundus Camera
Fundus Camera - Related Videos
05:51
Smartphone Fundus Photography
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Cited by 49 •
2017
Fundus photography normally requires specialized fundus cameras that are not always available in all clinical settings. Here, a simple method to record ocular fundus images using a smartphone camera and a conventional high-plus handheld indirect ophthalmoscopy lens is described.
07:22
Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
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Cited by 22 •
2016
The retinal pigment epithelium (RPE) supports the sensory retina through recycling visual cycle byproducts, which accumulate as lipofuscin. These products are autofluorescent and can be qualitatively imaged in vivo. Here, we describe a method to quantitatively image RPE lipofuscin using confocal scanning laser ophthalmoscopy.
07:41
RGBradford: Protein Quantitation with a Smartphone Camera
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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.
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.
10:30
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.
FAQs
Image formation depends on coordinating illumination and the camera system with the pupil so light can reach and return from the fundus for recording. This alignment allows the device to depict the retina, optic disc, macula, and retinal blood vessels in one internal-eye view, supporting clinical assessment of multiple ocular conditions.
Fundus Camera imaging can use pupil dilation or specialized filters to alter the capture conditions. Dilation is an optional approach described for some examinations, while filters enhance contrast within the resulting image. By selecting these options when appropriate, clinicians can improve the visibility of fundus features and obtain images better suited to screening, diagnosis, or follow-up.
Capturing the retina, optic disc, macula, and retinal blood vessels together gives clinicians several complementary views of ocular status. The resulting image can support assessment of changes associated with diabetic retinopathy, glaucoma-related disease, age-related macular degeneration, and retinal vascular disease. This range makes the examination useful when more than one fundus structure may be clinically relevant.
An examination centers on aligning illumination and the camera through the pupil, then recording the fundus image. Depending on the examination, the image may be obtained with pupil dilation or with a specialized filter to enhance contrast. The resulting photograph provides a documented view that clinicians can inspect for screening, diagnosis, or later comparison.
Clinicians may select fundus photography for screening, diagnosis, or monitoring when conditions affect the retina or its visible structures. The overview specifically identifies diabetic retinopathy, glaucoma-related changes, age-related macular degeneration, and retinal vascular disease as applications. Because the same approach can support several disease contexts, it fits both broad ocular assessment and focused follow-up.
Serial fundus images allow clinicians to compare the eye at different time points rather than relying on a single examination. That comparison can help assess whether disease is progressing and can support evaluation of treatment outcomes. Repeated imaging therefore adds a time-based dimension to diagnosis and monitoring, making changes visible across follow-up visits.