Speaker
Ayelet Heimowitz
(Princeton University)
Description
We present a novel method for contrast transfer function (CTF) estimation. Our method is based on the multi-taper method for power spectral density estimation, which aims to reduce the bias and variance of the estimator. Furthermore, we use known properties of the CTF and of the background of the power spectrum to increase the accuracy of our estimation. We will show that the resulting estimates capture the zero-crossings of the CTF in low-mid frequencies. Our estimation can be incorporated into existing cross-correlation based CTF estimation techniques, and, in addition, paves the way for new, zero-crossing based estimation methods.
