Heinrich Müller (1820-1864) and the entoptic discovery of the site in the retina where vision is initiated

Heinrich Müller was a nineteenth-century German retinal anatomist who, during his short career, was one of the discoverers of the rod photopigment rhodopsin and neuroglia in the retina, now known as Müller cells. He also described the ocular muscles and double foveae of some birds. An important, but largely neglected, insight by Müller was to combine careful psychophysical measurements and geometrical optics to find the location of the photosensitive layer of the retina in the living eye. Here, we provide translated passages from Müller's (1855) publication and compare his entoptic observations with retinal imaging using optical coherence tomography. Müller correctly deduced from his careful experiments that vision is initiated in the photoreceptors located in the back of the retina.

Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study

The reconstruction of the ventricular cardiac conduction system (CCS) from patient-specific data is a challenging problem. High-resolution imaging techniques have allowed only the segmentation of proximal sections of the CCS from images acquired ex vivo. In this paper, we present an algorithm to estimate the location of a set of Purkinje-myocardial junctions (PMJs) from electro-anatomical maps, as those acquired during radio-frequency ablation procedures. The method requires a mesh representing the myocardium with local activation time measurements on a subset of nodes. We calculate the backwards propagation of the electrical signal from the measurement points to all the points in the mesh to define a set of candidate PMJs that is iteratively refined. The algorithm has been tested on several Purkinje network configurations, with simulated activation maps, subject to different error amplitudes. The results show that the method is able to build a set of PMJs that explain the observed activation map for different synthetic CCS configurations. In the tests, the average error in the predicted activation time is below the amplitude of the error applied to the data.