In sje30/sjedrp: Density Recovery Profile for Retinal Mosaics

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Introduction

The density recovery profile (DRP) is widely used method particularly in the study of retinal mosaics [@Rodieck1991-kc]. It is closely related to the older K function from spatial statistics: the DRP is the derivative of the K function. ALthough they contain effectively the same information, most people prefer to examine the DRP.

The DRP works by measuring the relative position of neurons relative to each other. It is robust to undersampling of the retinal mosaic, unlike simpler nearest-neighbour methods [@Cook1996-be].

Autocorrelation

If you have one cell type to examine, the autocorrelation shows the empty space amongst those cells of the same type. To compute the DRP, you first need to load in the X,Y values (assumed to be in microns):

If you know the bounding box (a rectangular sample window from within which the neurons were detected), you can provide that information to get a more accurate assessment of boundary conditions. (The DRP has a compensation procedure when measuring the relative position of cells at the border.)

Crosscorrelation

The crosscorrelation is performed when you have two cell types and you wish to measure the relative position of cells of one type to the cells of the second type.

sje30/sjedrp documentation built on May 1, 2024, 5:20 p.m.