Sci Viz 2022-02-03: AGAVE 3d pathtrace image viewer (Dan Toloudis) скачать в хорошем качестве

Sci Viz 2022-02-03: AGAVE 3d pathtrace image viewer (Dan Toloudis)

At the inaugural Scientific Visualization Interest Group meeting, Dan Toloudis of Allen Institute discusses image volume visualization techniques and why more advanced rendering approaches can yield better results. He is the author of the AGAVE 3D pathtrace image viewer (https://www.allencell.org/pathtrace-r..., which is optimized for displaying multi-channel image volumes. Slides: https://www.dropbox.com/s/34oit0hjuhs... Abstract: Volumetric biological data presents unique challenges for interpretable display. Full interactive 3d display has been computationally intensive, and some image acquisition methods suffer from low signal to noise. Fortunately the number (and quality) of available methods for interactive examining of 3d volumes has increased with access to compute power, in particular GPU speed. I will give an overview of tried and true methods such as single-slice viewing, maximum intensity projections, and ray-marching. To this palette of options we can now add physically based rendering. Moving to physically based rendering approaches can improve interpretability by adding lighting, shadows, and surface reflectivity.