Electron cryomicroscopy was used to study the structure of human lipop
rotein(a) (Lp(a)), a plasma lipoprotein implicated in cardiovascular d
isease. An individual Lp(a) particle consists of a neutral lipid core
within a shell of phospholipid, cholesterol and glycoprotein. In princ
iple, electron cryomicroscopy images of single particles should contai
n structural detail attributable to the density differences among thes
e components and the surrounding buffer. We observed such structural d
etail in images of frozen, hydrated Lp(a) particles. Lp(a) particles a
ppeared to be roughly spherical in shape with an average diameter of 2
10 Angstrom. As is generally true for unstained samples in vitreous ic
e, imaged with a low electron dose, these images have low contrast wit
h low signal-to-noise ratios. To increase the signal-to-noise ratio, w
e averaged classes of similar particles. We began with a set of 5813 r
andomly oriented Lp(a) particles and generated classes using a linear
multivariate statistical method, followed by hierarchical ascendent cl
assification. Our initial classification, based on only the first eigh
t eigenvectors, separated particles on the basis of gross size and sha
pe. After a rough reference-free alignment step, a second classificati
on used the finer details in the images. This approach yielded class a
verages with structural detail only faintly visible in the raw, single
images.