{"entity": "publication", "iuid": "84e21b69ce4347898af4f3602760fbab", "timestamp": "2026-10-05T01:22:47.604Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/84e21b69ce4347898af4f3602760fbab.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/84e21b69ce4347898af4f3602760fbab"}}, "title": "Morphometric Analyses of Macrophages.", "authors": [{"family": "Hansen", "given": "Jan N", "initials": "JN"}], "type": "journal article", "published": "2023-08-28", "journal": {"title": "Methods in molecular biology (Clifton, N.J.)", "issn": "1940-6029", "volume": "2713", "pages": "519-541", "issn-l": "1064-3745"}, "abstract": "Cell morphology and motility drive the cellular capabilities to interact with the environment. For example, microglia, the longest known tissue-resident macrophages, show a highly branched process tree with which they continuously scan their environment. Computational image analysis allows to quantify morphology and/or motility from images of tissue-resident macrophages. Here, I describe a step-by-step protocol for analyzing the morphology (and motility) of macrophages with our recently described, freely available software MotiQ, which provides a broad band of parameters and thereby serves as a versatile tool for studies of morphology and motility.", "doi": "10.1007/978-1-0716-3437-0_34", "pmid": "37639145", "labels": [], "xrefs": [], "notes": [], "created": "2026-09-23T13:35:30.244Z", "modified": "2026-09-23T13:35:30.257Z"}