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RefCell: Multi-dimensional analysis of image-based high-throughput screens based on 'typical cells' [article]

Yang Shen, Nard Kubben, Julian Candia, Alexandra V. Morozov, Tom Misteli, Wolfgang Losert
<span title="2018-05-18">2018</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Results: Here we introduce RefCell, a multi-dimensional analysis pipeline for image-based HTS that focuses on reproducible capturing of cells with typical features of control cell state (i.e., typical  ...  In addition, RefCell is able to identify perturbations that deviate cells far from the control states. Keywords: Heterogeneity, single-cell analysis, image-based high-throughput screen  ...  These two 235 thresholds (gray lines) separate each panel of Figure In addition, we benchmarked our method against one of the existing multi-245 dimensional analysis approaches that is also based on  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/325415">doi:10.1101/325415</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s7iyuxlamffybbdbzlxvw3mfri">fatcat:s7iyuxlamffybbdbzlxvw3mfri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501114441/https://www.biorxiv.org/content/biorxiv/early/2018/05/18/325415.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ef/ee/efee5e59def9c11fa0cbcbf6e5dbd80d01784d16.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/325415"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

RefCell: multi-dimensional analysis of image-based high-throughput screens based on 'typical cells'

Yang Shen, Nard Kubben, Julián Candia, Alexandre V. Morozov, Tom Misteli, Wolfgang Losert
<span title="2018-11-16">2018</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n5zrklrhlzhtdorf4rk4rmeo3i" style="color: black;">BMC Bioinformatics</a> </i> &nbsp;
Results: Here we introduce RefCell, a multi-dimensional analysis pipeline for image-based HTS that reproducibly captures cells with typical combinations of features in reference states and uses these "  ...  Image-based high-throughput screening (HTS) reveals a high level of heterogeneity in single cells and multiple cellular states may be observed within a single population.  ...  RefCell is broadly applicable to single-cell-based high-throughput screens that focus on perturbing cells from one distinct phenotype to another.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12859-018-2454-1">doi:10.1186/s12859-018-2454-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tnzyszm4pzdqhawll3up3e3gxi">fatcat:tnzyszm4pzdqhawll3up3e3gxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427091944/https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2454-1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f2/99/f299e36ddd93dedf2a00903d132d79f7608e55e6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12859-018-2454-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Computational modelling of lithium ion batteries for electric vehicle applications: analysis, design and implementation

Krishnakumar Gopalakrishnan, Gregory Offer, Monica Marinescu, Imperial College London
<span title="2021-04-27">2021</span>
The realisation of Physics-Based Models (PBMs) of lithium ion cells in the Battery Management Systems (BMSs) of electric vehicles is studied through a three-pronged strategy – analysis, design and implementation  ...  The survey of literature undertaken in the backdrop of this broad landscape reveals a dearth of model-based designs for automotive-grade pouch cells, which is therefore addressed in this work.  ...  Acknowledgements Obtaining a PhD has long been a dream of mine. This dream could not have come to fruition without the support of many of my well-wishers to whom I shall remain eternally grateful.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25560/87995">doi:10.25560/87995</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ukbdqi2yrncfdjomnvupjdxpva">fatcat:ukbdqi2yrncfdjomnvupjdxpva</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210501230544/https://spiral.imperial.ac.uk:8443/bitstream/10044/1/87995/4/Gopalakrishnan-K-2019-PhD-Thesis-final.pdf.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/47/6f472324b5100feacdd856f92e4fcc7d1bfcf05f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25560/87995"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>