{"id":33840,"date":"2025-05-02T12:59:34","date_gmt":"2025-05-02T10:59:34","guid":{"rendered":"https:\/\/immunostep.com\/?p=33840"},"modified":"2025-05-02T12:59:34","modified_gmt":"2025-05-02T10:59:34","slug":"why-can-your-cytometry-results-be-wrong-without-you-knowing-it","status":"publish","type":"post","link":"https:\/\/immunostep.com\/es\/2025\/05\/02\/why-can-your-cytometry-results-be-wrong-without-you-knowing-it\/","title":{"rendered":"Why can your cytometry results be wrong without you knowing it?"},"content":{"rendered":"<p>Flow cytometry is an extremely powerful tool for cell analysis, but it is also surprisingly easy to make mistakes that compromise your results, even without realizing it. A bad setup, an inadequate gating strategy or lack of proper controls can generate inaccurate or even completely wrong data.<\/p>\n<p>If you have ever wondered why your results are not reproducible or do not match what you expected, this article is for you.<\/p>\n<h2><strong>1.Errors in Gating: The beginning of all evils<\/strong><\/h2>\n<p>Gating defines how you select cell populations in your data. Incorrect or inconsistent gating can cause you to misinterpret the proportion or activation of certain cells.<\/p>\n<p>Common problems:<\/p>\n<ul>\n<li>Not excluding debris or doublets.<\/li>\n<li>Using hand-drawn gates without objective criteria.<\/li>\n<li>Changing the order of gates in different experiments.<\/li>\n<\/ul>\n<p><strong>Tip:<\/strong> Use standardized strategies and always check negative controls to define the correct placement of your gates.<\/p>\n<h2><strong>2. Lack of controls: The invisible enemy<\/strong><\/h2>\n<p>One of the most frequent errors in cytometry is not including appropriate controls, which prevents the data from being interpreted correctly.<\/p>\n<p>Essential controls:<\/p>\n<ul>\n<li><strong>Non-specific fluorescence (NSF):<\/strong> To define true positivity limits.<\/li>\n<li><strong>Isotype controls:<\/strong> To validate antibodies.<\/li>\n<li><strong>Unlabeled cells:<\/strong> To establish background autofluorescence.<\/li>\n<\/ul>\n<h2><strong>3. Detector saturation: More is not always better<\/strong><\/h2>\n<p>A common mistake is to use antibodies in excess, thinking that this will improve the signal. What actually happens is detector saturation, which completely distorts intensities and marker ratios.<\/p>\n<p><strong>Consequences:<\/strong><\/p>\n<ul>\n<li>Loss of resolution between populations.<\/li>\n<li>False positives due to spillover.<\/li>\n<li>Non-linear fluorescence curves.<\/li>\n<\/ul>\n<p><strong>Solution:<\/strong> Titrate your antibodies correctly to determine the optimal concentration. Using more reagent than necessary not only worsens the result, but increases the cost of the experiment.<\/p>\n<h2><strong>4. Misapplied compensation: The chaos of the multicolor panel<\/strong><\/h2>\n<p>In multicolor panels, incorrect compensation can lead to serious artifacts. Signals get \u201cmixed\u201d between channels and end up generating falsely positive or negative data.<\/p>\n<p><strong>Recommendations:<\/strong><\/p>\n<ul>\n<li>Use compensation beads for each fluorochrome.<\/li>\n<li>Compensate before applying gating.<\/li>\n<li>Verify compensation values, especially if you change the laser or gain.<\/li>\n<\/ul>\n<h2><strong>Conclusion: Cytometry needs more than just pressing \u201cRUN\u201d<\/strong><\/h2>\n<p>Errors in cytometry can go unnoticed if you don&#8217;t know where to look. Poorly raised gating, missing controls or system saturation can ruin even the best designed experiment.<\/p>\n<p>At <a href=\"https:\/\/immunostep.com\/\">Immunostep<\/a>, we offer not only validated reagents for flow cytometry, but also expert technical advice to help you optimize your workflow and avoid these common mistakes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Flow cytometry is an extremely powerful tool for cell analysis, but it is also surprisingly easy to make mistakes that compromise your results, even without realizing it. A bad setup, an inadequate gating strategy or lack of proper controls can generate inaccurate or even completely wrong data. If you have ever wondered why your results [&hellip;]<\/p>\n","protected":false},"author":225,"featured_media":33841,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2033],"tags":[2066,2170,2117,2160,2120,2151],"class_list":["post-33840","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-immunology","tag-biomarkers","tag-flow-cytometry","tag-immunology","tag-immunotherapies","tag-medicine","tag-t-cell-responses"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Why can your cytometry results be wrong without you knowing it? | Immunostep Biotech<\/title>\n<meta name=\"description\" content=\"At Immunostep we have been innovating since 2001 to develop comprehensive products that contribute to improve.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/immunostep.com\/2025\/05\/02\/why-can-your-cytometry-results-be-wrong-without-you-knowing-it\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why can your cytometry results be wrong without you knowing it? 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