Image Optimization
Image Optimization - Related Videos
08:32
Optimized Protocol for Retinal Wholemount Preparation for Imaging and Immunohistochemistry
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Cited by 44 •
2013
The protocol described here is for structural assessment of a wholemount retinal preparation. This includes descriptions of tissue dissection, mounting onto a hydrophilized polytetrafluoroethylene (PTFE) membrane insert, bolus loading with fluorescent markers, and a comparison of fixation with carbodiimide and paraformaldehyde for immunohistochemical analysis of cellular and synaptic components.
03:37
Optimal Foraging - Concepts
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2019
Optimal Foraging Organisms must acquire and use resources in their environment to survive. While food is one of the primary resources organisms must search for, individuals also need to seek habitats, shelter, and mates. This process of searching for resources is known as foraging, which involves a series of costs and benefits. More specifically, acquiring a resource provides the organism with a benefit, however, searching and capturing the resource requires expenditure of time and energy.
00:48
Optimal Foraging
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2019
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment. Optimal foraging theory states that natural selection favors foraging strategies that balance the benefits of a particular food, such as energy and nutrients, with the costs of obtaining it, such as energy expenditure and the risk of predation. Optimal foraging maximizes benefits while minimizing costs. For the Crows
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.
07:40
Microstructured Devices for Optimized Microinjection and Imaging of Zebrafish Larvae
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Cited by 8 •
2017
Microinjection of zebrafish embryos and larvae is a crucial but challenging technique used in many zebrafish models. Here, we present a range of microscale tools to aid in the stabilization and orientation of zebrafish for both microinjection and imaging.
FAQs
The central tradeoff is between making important features easier to see and preserving the information contained in the original image. Resolution can affect visible detail, while contrast and brightness influence the distinction between structures. Noise can obscure findings, and compression improves efficiency but may remove useful information or introduce misleading artifacts. The appropriate balance depends on the clinical purpose.
Optimization can occur at different stages of the imaging workflow. Adjustments during acquisition influence the captured image, reconstruction algorithms shape how acquired data become an image, and post-processing modifies the resulting digital representation. Separating these stages helps identify where image quality or efficiency changes arise and allows the workflow to match the intended clinical or research use.
Improving apparent visibility is not sufficient if the process changes clinically important information. Excessive adjustment may remove diagnostic features, while unsuitable compression can introduce artifacts that mislead interpretation. Consequently, optimization should preserve relevant details while improving clarity, storage efficiency, or transmission. This balance supports more reliable use of images rather than simply producing a visually stronger image.
The desired image characteristics depend on how the image will be used. An image intended for clinical interpretation may require quality that supports reliable assessment, whereas images prepared for quantitative analysis or computer-assisted systems must remain suitable for consistent measurement or processing. Modality, acquisition stage, and downstream purpose therefore influence which adjustments are appropriate.
A practical workflow begins by identifying the clinical or research purpose, then selecting the appropriate stage for adjustment: acquisition, reconstruction, or post-processing. Relevant factors such as resolution, contrast, brightness, noise, and compression are considered together. The resulting image should be checked for preserved important details, absence of misleading artifacts, and suitability for interpretation, analysis, storage, or transmission.
Adjusting image representation and compression can make files more efficient to store and transmit, which is useful when large collections or distributed access are involved. Efficiency must remain subordinate to preservation of clinically important information. If compression removes relevant details or creates artifacts, the resulting file may be easier to handle but less reliable for interpretation or downstream analysis.
Quantitative analysis and computer-assisted diagnostic systems require images that retain relevant information in a consistent, usable form. Optimization can support these applications by improving visibility and managing image characteristics before analysis or computational processing. The image must still remain appropriate for its intended purpose, because altered details or artifacts could affect measurements, system inputs, or interpretation.
Consistent image quality helps clinicians and researchers interpret images more reliably and supports comparison across images prepared for related purposes. It also provides a more dependable basis for quantitative analysis and computer-assisted diagnostic development. Consistency does not mean applying identical adjustments everywhere; the image must remain matched to its modality, processing stage, and intended clinical or research use.