1. A method of measuring glomeruli in a kidney, the method comprising: obtaining a 3 dimensional image of a kidney; smoothing the image via a Difference of Gaussians filter; conducting a Hessian analysis on the smoothed image to mark glomeruli candidates; identifying, for each glomeruli candidate, average intensity A T , likelihood of blobness R T , and flatness S T ; and executing a clustering algorithm to post prune the glomeruli candidates, wherein the clustering algorithm evaluates, for each glomeruli candidate, the average intensity A T , the likelihood of blobness R T , and the flatness S T to determine if a glomeruli candidate should be counted as a true glomeruli, wherein R T = 3 ×  λ 1 ′ ⁢ λ 2 ′ ⁢ λ 3 ′  2 3 λ 1 ′ ⁢ λ 2 ′ + λ 2 ′ ⁢ λ 3 ′ + λ 1 ′ ⁢ λ 3 ′ , and wherein λ 1 ′, λ 2 ′, λ 3 ′ are eigenvalues of a regional Hessian H T .