title: Troubleshooting digital macro photography for image acquisition and the analysis of biological samples.
abstract: For years, image acquisition and analysis have been an important part of life science experiments to ensure the adequate and reliable presentation of research results. Since the development of digital photography and digital planimetric methods for image analysis approximately 20 years ago, new equipment and technologies have emerged, which have increased the quality of image acquisition and analysis. Different techniques are available to measure the size of stained tissue samples in experimental animal models of disease; however, the most accurate method is digital macro photography with software that is based on planimetric analysis. In this study, we described the methodology for the preparation of infarcted rat heart and brain tissue samples before image acquisition, digital macro photography techniques and planimetric image analysis. These methods are useful in the macro photography of biological samples and subsequent image analysis. In addition, the techniques that are described in this study include the automated analysis of digital photographs to minimize user input and exclude the risk of researcher-generated errors or bias during image analysis.
authors.affiliation: Latvian Institute of Organic Synthesis, Riga, Latvia. ledgars@biomed.lu.lv
authors.forename: Edgars
authors.initials: E
authors.lastname: Liepinsh
authors.forename: Janis
authors.initials: J
authors.lastname: Kuka
authors.forename: Maija
authors.initials: M
authors.lastname: Dambrova
mesh_terms: D000818:Animals; D016477:Artifacts; D020520:Brain Infarction / Q000473:pathology*; D004195:Disease Models, Animal; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019300:Medical Errors / Q000517:prevention & control; D009203:Myocardial Infarction / Q000473:pathology*; D010781:Photography / Q000379:methods*; D011340:Problem Solving; D012984:Software; D013048:Specimen Handling / Q000379:methods