Progress 06/01/14 to 11/30/16
Target Audience:We have reached out to approximately 20 goat farmers and veterinarians and discussed the mobile App with them. Most of them encouraged the development of the mobile app. Changes/Problems:The project was extended by one year since the correlations between the HBC in sheep (varied using phlebotomy)and the images of their conjunctiveobtained using a camera were not good. Therefore, field trials on goats werestarted. The images obtained from the field trials had severe lighting problems and therefore, a polarizer and a standard reference plate was used to correct for the lighting problems. When the standard reference plate was used, we obtained a good correlation between HBC values in goats and a model based on the images of the conjunctiva of goats. What opportunities for training and professional development has the project provided?A technician at Purdue University was trained in using a blood analyzer to obtain the hemoglobin blood count in sheep and goat. How have the results been disseminated to communities of interest?A US Patent titled "A Method and a Mobile App for use with a Mobile Device to Accurately Quantify Blood Hemoglobin in Mammals" (U.S. Patent Application Number 14/503,379) has been filed on November 30, 2014. In addition, we conducted a survery of approximately 20 goat producers andand veterinarians and discussed the Mobile App with them. What do you plan to do during the next reporting period to accomplish the goals?
What was accomplished under these goals?
During the Phase I work, it wasdemonstrated that a color analysis of the conjunctiva of a goat's eye obtained with a mobile phone camera can be used to determine the HBC level in blood. Further refinement and automation of the protocol and analysis to be completed during the Phase II project will lead to a very simple App that can be used by farmers to obtain HBC levels in goats. The goal of this Phase I SBIR project is to establish the feasibility of developing a low cost method to quantify the level of anemia in livestock. During this report period, images of mucosa several sheep and goats were obtained using a standard mobile phone. In addition, the hemoglobin blood count of the sheep and goats was obtained using standard laboratory methods. The images were analyzed to determine if there is sufficient correlation between the images and the HBC in sheep. The results showed a high correlation between the model obtained using the images and the blood count obtained in a laboratory.