CoLocalizer Express and Macnification combine forces

CoLocalization Research Software and Orbicule joined forces to offer CoLocalizer Express and Macnification in a bundle. The bundle combines two of the best applications for analysis of microscopy images created for the Macintosh platform. It is also an excellent match in terms of the applications' features, reliability, and ease of use.

Importantly, the bundle is offered at a very affordable price. For a limited time, the licenses of both applications can be purchased for an amazing EUR 199. That's a saving of EUR 30!

Macnification, CoLocalizer's good companion

In addition to quantifying colocalization, you can also asses other morphological parameters of your images, such as to measure and analyze the size of the cells and their different components. This comes in very handy to properly understand the significance of colocalization calculations. The best way to perform these types of measurements it is to use Macnification, a scientific application for organizing, editing, and analyzing of medico-biological imagery. Macnification lets you create folders where you can store your images, analyze them, and master image meta data. It also handles microscopic images in the variety of specialized file formats.

It is worth mentioning that Macnification is a 2008 Mac Design Award Winner for Best Mac OS X User Experience. As can be expected, it provides outstanding look and feel of the best breed of Macintosh software and guarantees an exquisite user experience.

Tuscany: Panorama of Florence

Tuscany: Pisa

Tuscany: Villas

Tuscany: Bachus

Tuscany: Wine Grapes

Tuscany: Lucca

Tuscany: Panorama of Lucca

Tuscany: Hills

CoLocalizer Pro 2.5.1 is an Apple.com Staff Pick

For those visiting Math & Science page of Apple.com, there is an information about CoLocalizer Pro. Apple.com classified it as a Staff Pick.

Colocalization? No, false presentation

I recently came across an article in the Journal of Cell Biology (JCB) entitled "Quantitative proteomics identifies a Dab2/integrin module regulating cell migration" (JCB 2009; 186:99–111). Finding images with colocalization in it, I expected them to be analyzed quantitatively as well. That was a wishful thinking. On Figure 5 of the article, Teckchandani et al. counted the number of colocalized and non-colocalized particles of Dab2 an integrinbeta1 and made conclusions about their ratio in ventral versus dorsal surfaces. How they determined coloalized particles? Visually. Non-colocalized ones? Also visually. How did they compare them? Visually as well! What a visual (and totally erroneous) approach! Ironically, the paper uses word "quantitative" in the title. But that is not for quantifying colocalization, that's for other things. Why? This is a good question.

Replying to my inquiry, Dr. Cooper of Fred Hutchinson Cancer Research Center shared a truly contemporary and very scientific attiude by saying that he believes only in what he sees and never relies on a "clever computer stuff". Is this disbelief applicable to the mentioned above paper he co-authored as well?

It is known that JCB not only sets trends in cell and molecular biological research, but also devotes a meaningful portion of its pages to the articles describing how to interpret and analyze biological imagery. It also explains the benefits of quantification of data and encourages readers to use it in their research. Worth mentioning in this regard are "Seeing is believing?" (JCB 2006; 172:9-18) and a very recent "Accuracy and precision in quantitative fluorescence microscopy" (JCB 2009; 185:1135-1148). So why JCB published a paper that ignores its own policies? This is an another good question.

Conclusion? Some people who publish their efforts in JCB should probably read the journal as well ... or choose a less visible venue for their misguiding publications.

New review came out

We have written a new review "Recent advances in quantitative colocalization analysis: focus on neuroscience" for "Progress in Histochemistry and Cytochemistry". The review summarizes latest information about applications of quantitative colocalization in the field of neuroscience.

Many thanks to the authors of excellent cited papers with whom we discussed their findings during preparation of the manuscript.