Proteus is an end-to-end project management software designed for businesses of all sizes to handle projects of unlimited complexity. Created by project management experts, for the diversified engineering consultancy sector, Proteus delivers detailed workflows from the early opportunity stage through to project delivery. Proteus integrates with your existing systems to scale and evolve as your business grows. Compliant with common project management frameworks and ISO standards, each feature is aimed at making bottom-line improvements by improving utilisation, streamlining workflows, providing quick and efficient access to resources, and reducing overheads. Key functionality includes project Opportunity evaluation: this is a bid/ no-bid workflow that assesses project risk pre-tender. The Proposals feature allows you to plan, build and submit detailed proposals with accurate costs and schedules. The Projects feature is where you manage you project work using detailed work breakdown structure hierarchies. Project data is tracked and monitored using the timesheet tool and automated dashboards and reports provide full transparency and control to users of all levels. Packed with powerful project management and project controls features, Proteus brings unrivalled visibility, enabling teams to anticipate and prevent issues, manage scope changes and deliver successful project outcomes.
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Based on our record, Icy seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
ICY is an open source free software, you can download for PC, MAC and Linux here. Source: over 2 years ago
For all my image processing I use Icy (http://icy.bioimageanalysis.org/) it doesn't seem to be that well known but it is free, has imageJ built into it, and I find it much easier and quicker than imageJ. It is really handy for z-stacks too, you can convert them to nice 3D images which I imagine might complement your mitochondrial shape data nicely. You can also download plug-ins for it that are quantification... Source: about 3 years ago
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