# Translations:The Eyewire Lexicon/34/ko

**큐브 : **
Although our sample is very small physically (only 350x300x60 microns), in the scale at which we are working the dataset is very large. This area has been divided into many smaller spaces which are also called volumes. The size of one of these volumes is 4.1 x4.1 x5.6 microns or 4100x4100x5600 nm. (As you look at your computer screen's resolution, one voxel, the smallest unit, represents an area approximately equal to 16.5x16.5x23 nm. Thus each cube consists of about 256^3 = 1,6777,216 voxels.) Each of these volumes contain sections of dendrites from hundreds of neurons. In order to manage this complexity, players trace one cell at a time as it passes through these spaces. Out of one volume many cubes with individual identification numbers are created, one for each of the different neurons passing through that volume or space in the dataset. As we play Eyewire, our tasks are to follow the traces of each dendrite through each relevant space. These tasks are called cubes. Our cubes overlap each other at their edges so a trace that is close enough to an edge will have an iteration (a trace that is the same) in the next cube. If a trace is near a place where two edges meet it may have as many as 4 iterations, and those near the intersection of three edges of the cube may have as many as eight iterations. This is important to know when correcting a merger or adding a missing part of the trace.