Iterative Constrained Tikhonov-Miller (ICTM) estimation

For fluorescence and from a theoretical viewpoint Maximum Likelihood Estimation (MLE) Restoration Methods are the best choices. However, for high Signal To Noise Ratios (SNR) as in widefield images this becomes rather academic. The ICTM method in the Huygens Professional is computationally more efficient than the Classic MLE (CMLE) algorithm, but in most cases the Quick-MLE (QMLE) method is found to be still faster. Since QMLE is also good at handling high SNR widefield images, QMLE has superceded ICTM. For this reason the ICTM menu entry is now located under menu 'Restoration->Legacy->Iterative Tikhonov-Miller' in the Operations window.

As to the 'quality' of the result, that is either a subjective criterion based on visual inspection (ICTM might win in low noise cases) or it is based on a mathematically sound criterion in which case MLE is proven to be best choice. For noisy images like most confocal ones, MLE is not only scientifically more correct, it also produces visually more pleasing images: far less background noise artifacts than ICTM. Furthermore, the MLE algorithm handles noisy backgrounds much better than the ICTM.

For further information, see also the FAQ MLE vs ICTM - Which method is more effective under certain circumstances?.

For a general overview of all algorithms in Huygens see Restoration Methods.

Download: get started!

Test how the Huygens deconvolution algorithms can restore your images! Feel free to try out Huygens deconvolution and its other products by requesting free test licenses.

You are welcome to contact us at sales@svi.nl for inquiries about your specific images.

Download Now!

Contact Information

Scientific Volume Imaging B.V.

Laapersveld 63
1213 VB Hilversum
The Netherlands

Phone: +31 (0)35 64216 26
Fax: +31 (0)35 683 7971
E-mail: info at svi.nl

Image Image Image Image Image Image