Technical note: Automatic evaluation of infrared thermal images by computerized active shape modeling of bovine udders challenged with Escherichia coli.

Mastitis causes substantial economic losses and animal suffering in the dairy industry. The trend toward larger herd sizes complicates the monitoring of udder health in individual animals. Infrared thermography has successfully been used for early mastitis detection. However, manual thermogram analysis is time consuming and requires a skilled examiner, and automated image processing has not been tested. The aim of this study was to determine whether automatic evaluation of thermograms showed results comparable to those of manual evaluation of thermograms. Five healthy cows underwent an intramammary challenge with Escherichia coli to induce clinical mastitis. Multiple udder thermograms were taken every 2 h for 24 h before and after the challenge, resulting in 4,143 images in total. All images were evaluated using image recognition software (automatically) and a polygon tool (manually) to calculate the average and maximum surface temperatures. Because of the slightly different regions of interest, temperatures ascertained from the thermograms using the automatic method were consistently lower than those ascertained using the manual method. However, average udder surface temperatures evaluated using both methods were strongly correlated (r = 0.98 in the left hindquarter, and r = 0.99 in the right hindquarter) and showed maximum temperature peaks at the same time, 13 and 15 h after intramammary challenge. In the receiver operating characteristic analysis, both methods provided good results for sensitivity and specificity in detecting clinical E. coli-induced mastitis at different threshold values. For automatically evaluated maximum right hindquarter temperature, sensitivity was 93.75% and specificity was 94.96%, and for manually evaluated maximum right hindquarter temperature, sensitivity was 93.75% and specificity was 96.40%. Thus, automatic thermogram evaluation is a promising tool for automated mastitis detection.

Recombinant 60-kDa heat shock protein from Paracoccidioides brasiliensis: is it a good antigen for serological diagnosis of paracoccidioidomycosis?

Paracoccidioides brasiliensis and P. lutzii are fungi that cause paracoccidioidomycosis (PCM), the most prevalent systemic mycosis in South America. For serological diagnosis, although 43-kDa glycoprotein (gp43) is regarded as highly specific for PCM, the occurrence of false negative reactions in sera from patients infected with P. lutzii suggests that preparation with only one antigen is not recommended. Heat shock proteins are feasible alternatives as a second antigen because they are often highly immunogenic. In this study, we evaluated the usefulness of recombinant 60-kDa heat shock protein from P. brasiliensis (rPbHsp60) for the serological diagnosis of PCM. Using western blotting assay, we observed that 77.3% of the sera from PCM patients were positive to rPbHsp60, with 90.9% positivity to recombinant gp43 (rgp43). More importantly, sera from healthy subjects had 27% positivity to rPbHsp60 and none to rgp43. When rPbHsp60 was used in ELISA, we did not observe significant differences between the reactions with sera from PCM patients and healthy subjects, while the difference was clearly evident when the antigen was rgp43. Furthermore, rPbHsp60 was recognized by sera from patients with histoplasmosis, aspergillosis, sporotrichosis or tuberculosis in an ELISA test. These results show that rPbHsp60 is not a good antigen for PCM diagnosis.