We’re proud to be featured in Volume 38 March 2014 of Make Magazine. The article explains how to create high resolution images with a simple build-it-yourself rig and a point and shoot camera. It’s a simple form of what we do for our ‘day jobs’. In the examples – we used an Arduino Due as a subject – in the magazine, the image came out at about 100 megapixels.
Just for fun we decided to run the same specimen through our professional system, the Magnify2 – these images are shown below. Obviously in a magazine space is limited – and you can actually zoom in (you are actually using our GIGAmacro Viewer), so we’ve prepared additional images to build on the ideas in the Make: article. The images below are assembled using different tools and at different resolutions. At the bottom of the post are links to information about nodal points and some software tools we use.
Explore the 1 Gigapixel (1,000 megapixel) Arduino Image
Explore in ViewerExtended Nodal Point Calibration Resources
Below are tutorials and resources for locating the “nodal point” of your camera lens.
VR Photography Tutorial
View Tutorial
Panamundo Tutorial
View Tutorial
Illustrator Template File for the Bracket in the Make Article:
Resources and Links:
Photomacrography.Net
A fantastic resource for macro photographers and contains a wealth of information about equipment, techniques, processes and more.
View Site
Kolor AutoPanoGiga
An excellent professional grade stitching application with a host of controls, options, and possibilities.
View Site
Zerene Stacker
An excellent professional focus stacking program that produces incredible results.
View Site
Gene is a creative innovator and developer with a passion for developing scientific tools, exhibits, and educational programs that provide new ways of exploring the world both literally and figuratively.
Photography is a common thread in his life and work, which has come a long way since childhood years experimenting with unique perspectives, angles, filters, and time-lapse exposures.
He founded GIGAmacro to build robotic devices capable of capturing gigapixel photographs with microscopic detail and developing new visualization tools for comparison of complex imagery for research, science, and education.
