Open AccessPiAutoStage: An Open‐Source 3D Printed Tool for the Automatic Collection of High‐Resolution Microscope Imagery
Author(s) -
Steiner R. Alex,
Rooney Tyrone O.
Publication year - 2021
Publication title -
geochemistry, geophysics, geosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.928
H-Index - 136
ISSN - 1525-2027
DOI - 10.1029/2021gc009693
Subject(s) - microscope , computer science , optical microscope , microscopy , optics , computer vision , computer graphics (images) , artificial intelligence , physics , scanning electron microscope
We have created an open‐source 3D printable microscope automatic stage and integrated camera system capable of providing a means for imaging microscope slides—the PiAutoStage. The PiAutoStage was developed to interface with the high‐quality optics of existing microscopes by creating an adaptable system that can be used in conjunction with a range of microscope configurations. The PiAutoStage automatically captures the entire area of a microscope slide in a series of overlapping high‐resolution images, which can then be stitched into a single panoramic image. We have demonstrated the utility of the PiAutoStage when attached to a transmitted light microscope by creating high‐fidelity image stacks of rock specimens in plane polarized and cross‐polarized light. We have shown that the PiAutoStage is compatible with microscopes that do not currently have a camera attachment by using two different optical trains within the same microscope: one set of imagery collected through the photography tube of a trinocular microscope, and a second set through a camera mounted to an ocular. We furthermore establish the broad adaptability of the PiAutoStage system by attaching it to a reflected light stereo dissection microscope to capture images of microfossils. We discuss strategies for the online delivery of these large‐sized images in a data efficient manner through the application of tiled imagery and open‐source Java‐based web viewers. The low cost of the PiAutoStage system, combined with the data‐efficient mechanisms of online delivery make this system an important tool in promoting the universal accessibility of high‐resolution microscope imagery.