Reconstructs retinae by morphing a flat surface with cuts
(a dissected flat-mount retina) onto a curvilinear surface (the
standard retinal shape). It can estimate the position of a point
on the intact adult retina to within 8 degrees of arc (3.6% of
nasotemporal axis). The coordinates in reconstructed retinae can
be transformed to visuotopic coordinates. For more details see
Sterratt, D. C., Lyngholm, D., Willshaw, D. J. and Thompson, I. D.
(2013)
The development of the initial version of Retistruct was supported by a Programme Grant from the UK Wellcome Trust (G083305) from 2008-2013.
Improvements to image handing and refactoring the code (released in v0.6.0) were supported by The Jackson Laboratory (Bar Harbor, ME, USA) Scientific Services Innovation Fund from 2016-2017 and an NIH R21 grant (EY027894) from 2018-2020 to Dr. Mark P. Krebs, The Jackson Laboratory.
The capabilities to reconstruct tissue comprised of separate fragments (released in v0.7.0) and to reconstruct 3D data comprising an overhead image and depth map (released in v0.7.2), and user interface improvements (released in v0.7.0) were supported by an NIH R21 grant (EY027894) from 2018-2020 to Dr. Mark P. Krebs, The Jackson Laboratory.
For full details go to the home page: http://davidcsterratt.github.io/retistruct/