Two Medical Winners of Apple Design Awards 2008
The Apple Design Awards is a special event taking place at Apple’s annual Worldwide Developers Conference. The event is meant to recognize technical excellence, innovation, and outstanding achievement in software development. This year, two medical applications managed to win awards.
MIM for iPhone, which I presented in an earlier post, is Best iPhone Healthcare & Fitness Application.
MIM for iPhone is a revolutionary medical imaging application that provides multi-planar reconstruction of fused data sets such as PET/CT, which are crucial in diagnosing cancer. MIM lets physicians retrieve patient images wirelessly on their iPhone or iPod touch, manipulate and adjust them using simple gestures to isolate crucial pieces of data, and gather important data for a patient diagnosis on their rounds. MIM’s features include true dynamic multi-modality image fusion, multi-planar volumetric image reconstruction, linear measurement tools, Quantitative Standardized Uptake Value ROI, fusion blending between PET/CT and PET/MR, and display of PET, CT, MR, and Nuclear Medicine images. MIM takes advantage of technologies including Core Animation, Foundation/Core Foundation, UIKit, WebKit, and the accelerometer.
Macnification 1.0 won the award of Best Mac OS X Leopard User Experience.
Working with scientific images has never been easier or more rewarding than with Macnification 1.0, the new scientific image management solution for Mac OS X Leopard. Analogous to an Aperture for digital microscopy, Macnification helps scientists, engineers, and academicians import, organize, annotate, analyze, modify, compare, and publish huge volumes of microscopic images in a wide variety of formats. Macnification takes advantage of the advanced capabilities and efficiencies of Objective-C 2.0 and leverages an abundance of Mac OS X frameworks, including Image Kit for image handling and display, Core Image for fast, non-destructive image modification, QTKit for the creation and display of time-lapse Quick Time movies, Core Animation for live-updating stack views, and Core Data for automatic data saving and the implementation of Macnification’s complex relational data model.
Macnification also goes the extra mile and integrates with numerous Mac OS X technologies allowing users to search for images using Spotlight, preview images using Quick Look, export image measurements to Numbers (and Excel), and back up their entire image library with Time Machine. What really puts Macnification over the top is its gorgeous, easy-to-use user interface. Closely adhering to Apple’s Mac OS X Human Interface Guidelines, Macnification focuses on exactly what its audience needs, while surprising and delighting users with its subtle use of animation, appropriate use of transparency, and unwavering attention to aesthetic details.
Ivor Kovic
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