{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T23:27:07Z","timestamp":1791070027694,"version":"4.1.0"},"reference-count":26,"publisher":"American Society for Microbiology","issue":"1","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["Antimicrob Agents Chemother"],"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n          <jats:p>\n            Chlamydiae are obligate intracellular bacteria that propagate in the inclusion, a specific niche inside the host cell. The standard method for counting chlamydiae is immunofluorescent staining and manual counting of chlamydial inclusions. High- or medium-throughput estimation of the reduction in chlamydial inclusions should be the basis of testing antichlamydial compounds and other drugs that positively or negatively influence chlamydial growth, yet low-throughput manual counting is the common approach. To overcome the time-consuming and subjective manual counting, we developed an automatic inclusion-counting system based on a commercially available DNA chip scanner. Fluorescently labeled inclusions are detected by the scanner, and the image is processed by ChlamyCount, a custom plug-in of the ImageJ software environment. ChlamyCount was able to measure the inclusion counts over a 1-log-unit dynamic range with a high correlation to the theoretical counts. ChlamyCount was capable of accurately determining the MICs of the novel antimicrobial compound PCC00213 and the already known antichlamydial antibiotics moxifloxacin and tetracycline. ChlamyCount was also able to measure the chlamydial growth-altering effect of drugs that influence host-bacterium interaction, such as gamma interferon, DEAE-dextran, and cycloheximide. ChlamyCount is an easily adaptable system for testing antichlamydial antimicrobials and other compounds that influence\n            <jats:named-content xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" content-type=\"genus-species\" xlink:type=\"simple\">Chlamydia<\/jats:named-content>\n            -host interactions.\n          <\/jats:p>","DOI":"10.1128\/aac.01400-13","type":"journal-article","created":{"date-parts":[[2013,11,5]],"date-time":"2013-11-05T04:07:25Z","timestamp":1383624445000},"page":"405-413","update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":13,"title":["Application of DNA Chip Scanning Technology for Automatic Detection of Chlamydia trachomatis and Chlamydia pneumoniae Inclusions"],"prefix":"10.1128","volume":"58","author":[{"given":"Anita","family":"Bogdanov","sequence":"first","affiliation":[{"name":"Institute of Clinical Microbiology, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valeria","family":"Endr\u00e9sz","sequence":"additional","affiliation":[{"name":"Institute of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Szabolcs","family":"Urb\u00e1n","sequence":"additional","affiliation":[{"name":"Department of Image Processing and Computer Graphics, Institute of Informatics, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ildik\u00f3","family":"Lantos","sequence":"additional","affiliation":[{"name":"Institute of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judit","family":"De\u00e1k","sequence":"additional","affiliation":[{"name":"Institute of Clinical Microbiology, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katalin","family":"Buri\u00e1n","sequence":"additional","affiliation":[{"name":"Institute of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamil","family":"\u00d6nder","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Paracelsus Medical University, Salzburg, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ferhan","family":"Ayaydin","sequence":"additional","affiliation":[{"name":"Cellular Imaging Laboratory, Biological Research Center, Hungarian Academy of Sciences, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00e9ter","family":"Bal\u00e1zs","sequence":"additional","affiliation":[{"name":"Department of Image Processing and Computer Graphics, Institute of Informatics, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dezs\u0151 P.","family":"Virok","sequence":"additional","affiliation":[{"name":"Institute of Clinical Microbiology, University of Szeged, Szeged, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"235","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1378\/chest.06-2415"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1160\/TH11-06-0392"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijantimicag.2011.09.004"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.3109\/09286586.2011.627490"},{"key":"e_1_3_2_6_2","first-page":"1127","article-title":"Chlamydia trachomatis infections: screening, diagnosis, and management","volume":"86","author":"Mishori R","year":"2012","unstructured":"MishoriRMcClaskeyELWinklerPrinsVJ. 2012. 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