Roi Analysis
Roi Analysis - Related Videos
06:27
Automated Analysis of C. elegans Fluorescence Images using SegElegans
0 Views •
2025
Here we provide instructions on effectively utilizing SegElegans, a deep learning system we developed for the automated segmentation of individual worms in widefield microscopy images, for subsequent use in image analysis software such as ImageJ. We provide ways to use the system both online and offline.
06:49
Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
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Cited by 28 •
2014
Here a novel region of interest analysis protocol based on sorting best-fit ellipses assigned to regions of positive signal within two-dimensional time lapse image sequences is demonstrated. This algorithm may enable investigators to comprehensively analyze physiological Ca2+ signals with minimal user input and bias.
10:30
High-throughput Analysis of Locomotor Behavior in the Drosophila Island Assay
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Cited by 10 •
2017
The island assay is a relatively new, cost-effective assay that can be used to evaluate the basic locomotor behavior of Drosophila melanogaster. This manuscript describes algorithms for automatic data processing and objective quantification of island assay data, making this assay a sensitive, high-throughput readout for large genetic or pharmacological screens.
07:38
Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
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Cited by 9 •
2017
This manuscript uses the Fiji-based open-source software package VirusMapper to apply single-particle analysis to super-resolution microscopy images in order to generate precise models of nanoscale structure.
11:19
Spatiotemporal Analysis of Cytokinetic Events in Fission Yeast
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Cited by 6 •
2017
The fission yeast, Schizosaccharomyces pombe is an excellent model system to study cytokinesis, the final stage in cell division. Here we describe a microscopy approach to analyze different cytokinetic events in live fission yeast cells.
FAQs
An ROI analysis links an activity’s resource commitments to the value attributed to its results, then expresses that relationship as a return, ratio, or net gain. In healthcare, the value side may be financial or another measurable outcome, allowing an organization to examine whether the reported benefit justifies the resources assigned during the selected evaluation period.
The calculation depends on what an organization counts as an input, what it recognizes as a benefit, and how long it observes the activity. Equipment, staffing, treatment, and program delivery may contribute to resource requirements, while benefits can be financial or measurable in another way. Changing the time period or included components can therefore change the reported result.
Financial return alone does not show whether a medical initiative serves patients well. Interpreting ROI alongside clinical outcomes and patient needs places the economic estimate in its healthcare context. This combined view helps decision makers judge value more responsibly, especially when an activity produces important clinical or patient-relevant effects that a financial measure may not fully represent.
Clinical outcome evaluation focuses on results related to patients or care delivery, whereas ROI analysis adds a resource and value comparison. Using both perspectives helps organizations assess not only whether a program, technology, prevention initiative, or service improvement produced relevant results, but also whether its resource requirements fit the intended value.
A practical ROI analysis begins by defining the activity and evaluation period. The organization then identifies relevant resource commitments, such as equipment, staffing, treatment, or program delivery, and specifies the financial or measurable benefits to examine. Finally, it expresses the relationship as a return, ratio, or net gain and interprets the result with clinical outcomes and patient needs.
Healthcare organizations can apply ROI analysis to clinical programs, medical technologies, prevention initiatives, and service improvements. In each case, the approach helps relate the initiative’s resource requirements to its resulting financial or measurable value. This supports evaluation across different kinds of activities rather than limiting the method to direct treatment expenditures alone.
The resulting return, ratio, or net gain can inform decisions about funding, efficiency, implementation, and long-term healthcare value. Results become more useful when organizations consider the defined evaluation period and interpret the economic relationship alongside clinical outcomes and patient needs. This context supports evidence-informed choices about whether and how to proceed with an initiative.