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Performing Quantitative Imaging Acquisition, Analysis and Visualization Using the Best of Open Source and Commercial Software Solutions.
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2016 |
| Abstract | A challenge in any imaging laboratory, especially one that uses modern techniques, is to achieve a sustainable and productive balance between using open source and commercial software to perform quantitative image acquisition, analysis and visualization. In addition to considering the expense of software licensing, one must consider factors such as the quality and usefulness of the software's support, training and documentation. Also, one must consider the reproducibility with which multiple people generate results using the same software to perform the same analysis, how one may distribute their methods to the community using the software and the potential for achieving automation to improve productivity. |
| Starting Page | 2064 |
| Ending Page | 2065 |
| Page Count | 2 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://journals.cambridge.org/fulltext_content/supplementary/MAM22_S3_minisite/7337/2064.pdf |
| Alternate Webpage(s) | http://www.einstein.yu.edu/uploadedfiles/labs/robert-singer-lab/SL160S.pdf |
| PubMed reference number | 27516727v1 |
| Volume Number | 22 |
| Journal | Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Imagery Structured Product Labeling Licensing Terminology Training Support quantitative |
| Content Type | Text |
| Resource Type | Article |
