| pubmed-article:18992251 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C0229948 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C1622501 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C1704675 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C1704922 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C0162326 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C0205554 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
| pubmed-article:18992251 | lifeskim:mentions | umls-concept:C0450363 | lld:lifeskim |
| pubmed-article:18992251 | pubmed:issue | 1 | lld:pubmed |
| pubmed-article:18992251 | pubmed:dateCreated | 2008-12-16 | lld:pubmed |
| pubmed-article:18992251 | pubmed:abstractText | This paper presents automated methods to quantify dynamic phenomena such as cell-cell interactions and cell migration patterns from time-lapse series of multi-channel three-dimensional image stacks of living specimens. Various 5-dimensional (x, y, z, t, lambda) images containing dendritic cells (DC), and T-cells or thymocytes in the developing mouse thymic cortex and lymph node were acquired by two-photon laser scanning microscopy (TPLSM). The cells were delineated automatically using a mean-shift clustering algorithm. This enables morphological measurements to be computed. A robust multiple-hypothesis tracking algorithm was used to track thymocytes (the DC were stationary). The tracking data enable dynamic measurements to be computed, including migratory patterns of thymocytes, and duration of thymocyte-DC contacts. Software was developed for efficient inspection, corrective editing, and validation of the automated analysis results. Our software-generated results agreed with manually generated measurements to within 8%. | lld:pubmed |
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| pubmed-article:18992251 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18992251 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18992251 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18992251 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18992251 | pubmed:month | Jan | lld:pubmed |
| pubmed-article:18992251 | pubmed:issn | 0022-1759 | lld:pubmed |
| pubmed-article:18992251 | pubmed:author | pubmed-author:LangH DHD | lld:pubmed |
| pubmed-article:18992251 | pubmed:author | pubmed-author:ChenYingY | lld:pubmed |
| pubmed-article:18992251 | pubmed:author | pubmed-author:RobeyEllenE | lld:pubmed |
| pubmed-article:18992251 | pubmed:author | pubmed-author:RoysamBadrina... | lld:pubmed |
| pubmed-article:18992251 | pubmed:author | pubmed-author:HerzmarkPaulP | lld:pubmed |
| pubmed-article:18992251 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:18992251 | pubmed:day | 1 | lld:pubmed |
| pubmed-article:18992251 | pubmed:volume | 340 | lld:pubmed |
| pubmed-article:18992251 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18992251 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18992251 | pubmed:pagination | 65-80 | lld:pubmed |
| pubmed-article:18992251 | pubmed:dateRevised | 2011-9-26 | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
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| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:meshHeading | pubmed-meshheading:18992251... | lld:pubmed |
| pubmed-article:18992251 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:18992251 | pubmed:articleTitle | Automated 5-D analysis of cell migration and interaction in the thymic cortex from time-lapse sequences of 3-D multi-channel multi-photon images. | lld:pubmed |
| pubmed-article:18992251 | pubmed:affiliation | Department of Electrical, Computer, and System Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. | lld:pubmed |
| pubmed-article:18992251 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18992251 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:18992251 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:18992251 | lld:pubmed |
