{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T07:12:09Z","timestamp":1789456329470,"version":"build-2803163510"},"reference-count":29,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2023,4,8]],"date-time":"2023-04-08T00:00:00Z","timestamp":1680912000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000072","name":"National Institute of Dental and Craniofacial Research","doi-asserted-by":"publisher","award":["NIDCR 5R01DE018701\u201010"],"award-info":[{"award-number":["NIDCR 5R01DE018701\u201010"]}],"id":[{"id":"10.13039\/100000072","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","award":["NIGMS 1R01GM128991\u201004"],"award-info":[{"award-number":["NIGMS 1R01GM128991\u201004"]}],"id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","award":["NIGMS 1R01GM128991\u201001"],"award-info":[{"award-number":["NIGMS 1R01GM128991\u201001"]}],"id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Biomedical Materials Res"],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Image analysis platforms have gained increasing popularity in the last decade for the ability to automate and conduct high\u2010throughput, multiplex, and quantitative analyses of a broad range of pathological tissues. However, imaging tissues with unique morphology or tissues containing implanted biomaterial scaffolds remain a challenge. Using HALO\u00ae, an image analysis platform specialized in quantitative tissue analysis, we have developed a novel method to determine multiple cell phenotypes in porous precision\u2010templated scaffolds (<jats:bold>PTS<\/jats:bold>). PTS with uniform spherical pores between 30 and 40\u2009\u03bcm in diameter have previously exhibited a specific immunomodulation of macrophages toward a pro\u2010healing phenotype and an overall diminished foreign body response (FBR) compared to PTS with larger or smaller pore sizes. However, signaling pathways orchestrating this pro\u2010healing in 40\u2009\u03bcm PTS remain unclear. Here, we use HALO\u00ae to phenotype PTS resident cells and found a decrease in pro\u2010inflammatory CD86 and an increase in pro\u2010healing CD206 expression in 40\u2009\u03bcm PTS compared to 100\u2009\u03bcm PTS. To understand the mechanisms that drive these outcomes, we investigated the role of myeloid\u2010differentiation\u2010primary\u2010response gene 88 (MyD88) in regulating the pro\u2010healing phenomenon observed only in 40\u2009\u03bcm PTS. When subcutaneously implanted in MyD88KO mice, 40\u2009\u03bcm PTS reduced the expression of CD206, and the scaffold resident cells displayed an average larger nuclear size compared to 40\u2009\u03bcm PTS implanted in mice expressing MyD88. Overall, this study demonstrates a novel image analysis method for phenotyping cells within PTS and identifies MyD88 as a critical mediator in the pore\u2010size\u2010dependent regenerative healing and host immune response to PTS.<\/jats:p>","DOI":"10.1002\/jbm.a.37547","type":"journal-article","created":{"date-parts":[[2023,4,8]],"date-time":"2023-04-08T12:08:38Z","timestamp":1680955718000},"page":"1459-1467","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Novel <scp>HALO<\/scp>\u00ae image analysis to determine cell phenotype in porous precision\u2010templated scaffolds"],"prefix":"10.1002","volume":"111","author":[{"given":"Nathan R.","family":"Chan","sequence":"first","affiliation":[{"name":"Molecular Engineering and Sciences Institute University of Washington  Seattle Washington USA"},{"name":"Department of Bioengineering University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Billanna","family":"Hwang","sequence":"additional","affiliation":[{"name":"Center for Lung Biology University of Washington  Seattle Washington USA"},{"name":"Department of Surgery University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachel L.","family":"Waworuntu","sequence":"additional","affiliation":[{"name":"Center for Lung Biology University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"An J.","family":"Tran","sequence":"additional","affiliation":[{"name":"Center for Lung Biology University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Buddy D.","family":"Ratner","sequence":"additional","affiliation":[{"name":"Molecular Engineering and Sciences Institute University of Washington  Seattle Washington USA"},{"name":"Department of Bioengineering University of Washington  Seattle Washington USA"},{"name":"Department of Chemical Engineering University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3332-3271","authenticated-orcid":false,"given":"James D.","family":"Bryers","sequence":"additional","affiliation":[{"name":"Molecular Engineering and Sciences Institute University of Washington  Seattle Washington USA"},{"name":"Department of Bioengineering University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,4,8]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.4397"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00428-018-2485-z"},{"issue":"53","key":"e_1_2_9_4_1","first-page":"1","article-title":"Methods for segmentation and classification of digital microscopy tissue 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