|Title||Performing Quantitative Imaging Acquisition, Analysis and Visualization Using the Best of Open Source and Commercial Software Solutions.|
|Publication Type||Journal Article|
|Year of Publication||2016|
|Date Published||2016 Jul|
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.
|Alternate Journal||Microsc. Microanal.|
|PubMed Central ID||PMC4978132|
|Grant List||P01 CA100324 / CA / NCI NIH HHS / United States |
U01 EB021236 / EB / NIBIB NIH HHS / United States
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