About the course:The BioVoxxel workshop consists of different basic hands-on modules and can additionally be tailored to the specific scientific interests and needs of the participants. Therefore, specific questions or problems can be communicated with BioVoxxel in advance and can be discussed during the workshop to find potential solutions. This will increase the value and benefit for each participant. All participant imaging data discussed during the workshop will be treated as confidential! The course content has a focus on micrographs and is constantly reviewed and updated to keep up with the rapidly changing data acquisition and analysis necessities as well as scientific ethics guideline suggestions. This course will enable you to efficiently analyze your imaging data according to high scientific standards! Furthermore, BioVoxxel offers flexibility in topics and workshop dates under guidance of an experienced scientist. Also see: Current workshop dates and references Want to have a glance at a specialized workshop, see here: BioVoxxel @ Imagej Conference 2015, Madison (WI), USA |
Course Features:
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Workshop, Oslo (Norway), 2014 |
Detailed information and prices can be retrieved by contacting BioVoxxel.
Information for participants:
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Why is education in scientific image handling, processing and analysis important?Scientific digital imaging is very diverse with a huge range of methods and resulting images. The final goal of all scientists is to publish the data in a renowned journal in their field of research. One essential part in publications is to present data in form of figures. Therefore, a least biased choice of representative images of the experiment is already the first critical step (besides prior proper imaging device adjustment and proper image acquisition techniques). Thereafter, images are often subject to editing. The reason/intention for the image editing should already be questioned. Is it applied to improve visibility of features, to direct the observers view to specific regions, to get rid of “ugly background” or dirt from the sample preparation or to underscore points for or against a hypothesis? Mostly, image editing (as well as image analysis) is done based on good intentions but influenced by natural bias (e.g. our visual system [1]) and often a lack of sound knowledge in image processing techniques. Not seldom, this leads to alterations in the image data which very quickly might be considered as misrepresentation of data. The Office of Research Integrity (ORI) figured out that from all cases they opened in 2007-2008 for investigation against potential scientific misconduct 68% included image data manipulation [2]. In the last years the awareness in this field increased and the number of journals explicitly stating strict image data related guidelines and enforcing compliance is (too) slowly increasing. Besides those guidelines the education of young scientists in image processing, analysis, handling of scientific images and publication ethics is essential. BioVoxxel is dedicated to communicate skills in good scientific practice regarding digital images to the scientific community to help preventing unintentional image data alterations (see below). Furthermore, BioVoxxel offers consulting services regarding the assessment of image manipulation |
References:[1] Seeing the Scientific Image [2] Science journals crack down on image manipulation [3] Digital Images Are Data: And Should Be Treated as Such [4] Guidelines for Best Practices in Image Processing [6] Digital Image Ethics – University of Arizona (by Douglas Cromey) [7] What’s in a picture? The temptation of image manipulation [8] Manipulation and Misconduct in the Handling of Image Data |