Welcome to the online home of Diffusible Iodine-based Contrast-enhanced Computed Tomography.
Our mission is to provide digital resources for the diceCT community and to connect interested researchers with contrast-enhanced imaging veterans. Watch this space and @diceCT for updates on new publications, tips & tricks, and diceCT-related events.
“The African clawed frog Xenopus laevis is one of the world’s most widely used model organisms – yet existing anatomical descriptions are nearly a century old, incomplete and use outdated nomenclature. Moreover, Xenopus exhibits many unusual skeletal and soft-tissue characters compared to well-described “typical” frogs such as Rana. We used diceCT to create a 3D digital dissection of Xenopus, including the skeleton, muscles, nervous, respiratory digestive and reproductive systems. The method was particularly useful in this instance as it preserves 3D topological relationships and permitted dissection of a very small, fragile specimen.”
“Here we present a method that generates high quality iodine contrasted CT images from embryonic soft tissue. This method has two primary advantages over previous methodologies. First, it allows extraction of high quality nucleic acids following the CT scan, generating a 1:1 correspondence between scan and gene expression or DNA profile. Second, it minimizes the shrinkage artifacts associated with fixation and contrasting. The ability to relate a single sample to its genetic profile will allow study of both partially penetrant models and also increase our understanding of how genotype and phenotype are directly related.”
“A three-dimensional model of the wing musculature of the sparrowhawk (Accipiter nisus) was built using μCT and a 3% iodine-buffered formalin solution to test the ability of the technique for visualising wing musculature and obtaining quantitative data of muscle geometry. This model allows the identification of the individual muscles comprising the avian wing and can be useful for further biomechanical analysis of flight.”
It’s so important to seize opportunities to share the wonder of discovery with the public. The BioArt images showcase the beauty of scientific research and are a great place to start the conversation —Hudson Freeze, PhD, FASEB President.
The Federation of American Societies for Experimental Biology holds an annual BioArt Competition to help engage Members of Congress and the general public about the immense value of biomedical and bioimaging research in the United States and the need for sustained support of federal funding agencies that facilitate life science and biomedical studies. To celebrate the competition, winning entries will be exhibited at the National Institutes of Health and online at FASEB.org.
“Tour through the brain of a python”— Paul M. Gignac, Oklahoma State University Center for Health Sciences, and Nathan J. Kley, Stony Brook University School of Medicine
“We used high precision computed tomography (CT) and traditional radiography to study the nasal conchae, complex structures within the nasal cavity that condition air via countercurrent heat exchange. Concha size differed between 2 subspecies of Song Sparrow (Melospiza melodia) that inhabit climatically distinct habitats, suggesting adaptation to local climates. The conchae and external bill are nested structures that were positively related in size and play functionally related roles in thermoregulation, therefore suggesting phenotypic integration. We hypothesize that the typically deeper and wider bill of the dune subspecies has evolved, at least in part, to accommodate larger conchae.”
For those diceCT users working STABILITY protocols into your specimen preparation regimes, we’ve been hearing reports that your thermally-triggered initiator, VA-044 (2,2′-Azobis[2-(2-imidazolin-2-yl)propane]dihydrochloride), may be difficult to source. It tends to be sold in larger volumes than researchers practically require for STABILITY, which has made it difficult to purchase while leaving much of the chemical unused on researcher’s shelves.
Dr. Vera Weisbecker (University of Queensland, Queensland, Australia) has recently offered to share some of her supply with STABILITY users, who might not be able to get a hold of it from Wako Specialty Chemicals or elsewhere. Please email her directly if you are interested.
We, @DiceCT, would like to offer an enormous thank you to Dr. Weisbecker for her generosity and openness, in particular, as well as for advancing STABILITY for our larger community!
A diceCT visualized ratsnake head and brain is a finalist in the 2016 Royal Society of London Scientific Photography Competition! This piece and many other contributions of remarkable scientific artwork are now part of a display at the Royal Society of London Online.
The competition celebrates the power of photography to communicate science and the role images play in making science more accessible to a wide audience. To view featured photos at the Open House exhibition (9/17–9/18/2016), visit The Royal Society of London.
“I2KI-formalin (iodine-potassium iodine-formalin) treatment can obscure the natural X-ray contrast of the bone due to neighboring soft-tissues during staining of avian cephalic material. By contrast, we found the I2E (iodine-ethanol) treatment can increase the X-ray opacity of not only soft tissues (e.g., muscles), but also the bone. Mathematical simulations suggest that remarkably different results from I2E and I2KI-formalin staining are due to different partition coefficients and retardation factors of tissues, fixation effects, and distinct iodine diffusion and sorption patterns. We also found a clear positive relationship between glycogen concentration and grayscale values measured within muscle, epithelia, nervous tissues, and glands regardless of the staining solution used.”
Contrast limited adaptive histogram equalization (CLAHE) is a procedure for enhancing local contrast in an image or stack of images. In contrast to standard histogram equalization that applies single formula for enhancing contrast across the entire image, CLAHE applies multiple equalizations within partitions of an image, resulting in more localized and subtle contrast enhancements. This results in digital contrast enhancement that is not dominated by overly deep blacks or excessively bright whites.
For diceCT, CLAHE is very useful for improving edge recognition for digitally segmenting regions of interest (ROI) based on your CT data. It is particularly helpful when applied to sub-optimally stained specimens.
CLAHE is implemented in FIJI (ImageJ) and the script is available freely and openly. To perform it on a stack of CT images:
Drag and drop the folder that contains a stack of CT images into FIJI (download here: https://fiji.sc). Wait until FIJI reads in the entire image stack.
Copy the CLAHE script from the “Tips” section on the website.
In FIJI, go to “Plugins” > “New” > “Macro”. A new window will open. In the text field, paste the CLAHE script.
Select “Run”. One can specify the “block size,” “histogram bins,” and “max slope” parameters (the details of which are outlined on ImageJ.net), but I have found that the default parameters do a fine job.
Once CLAHE has gone through the entire stack, save the new image stack in a different folder to keep the original CT image stack intact (you never know when you’ll need them).
In CT data processing program of your choice (e.g., Avizo, VGStudio), read in the modified image stack.
Here is a before and after example to illustrate how CLAHE enhances diceCT images.
CLAHE processes image stacks fairly quickly, so I recommend trying it with all diceCT image stacks. Generally, it improves edge recognition for all 3-D rendering programs, thus, greatly reducing the time spent on segmenting ROIs. As mentioned above, CLAHE is particularly useful for sub-optimally stained specimens, which is helpful when one cannot devote time or reserve frequent CT scanning sessions for checking and optimizing the stain concentration and duration.
Potential issues with CLAHE include the increase in file size associated with CT data from having both original and modified image stacks. In addition, CLAHE may accentuate unwanted artifacts like beam hardening, so there is further motivation to minimize such scanning artifacts.
Those interested in learning more about the method can visit Wikipedia and read through the original article (Zuiderveld, 1994).