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We present PickliPy, an open-source framework that converts spreadsheet-based assay designs into validated ADE picklists. PickliPy.Assay supports combinatorial, dose-response, and multi-addition time-course dispensing, while PickliPy.Screen extends to high-throughput workflows, including library reformatting and shortlisting. Across biological contexts, the framework generated reproducible, assay-ready plates and standardized execution in human cohort studies. Acoustic pre-dispensing deepened bioenergetic phenotyping of human skeletal muscle mitochondria, capturing substrate switching and sharpened dose-response precision in human pancreatic \u03b2-cells, revealing an age-associated change in succinate dehydrogenase kinetics. We benchmarked a wash-free, live-cell screen of mitochondrial function and morphology, in which deep-learning image analysis widened the assay window, and ADE enabled integrative dose-response co-response analysis. These tools, including their agentic use, make complex ADE experiments easier to design and scale from single benches to screening campaigns.<\/jats:p>","DOI":"10.64898\/2026.07.05.735934","type":"posted-content","created":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T20:25:24Z","timestamp":1783369524000},"source":"Crossref","is-referenced-by-count":0,"title":["Advanced Open-Source Experimental-Design Tools for Microplate-Based Assays with Acoustic Liquid Handling"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4964-5208","authenticated-orcid":false,"given":"Varunya M.","family":"Kattunga","sequence":"first","affiliation":[{"name":"Buck Institute for Research on Aging, Novato, CA, 94945, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2062-6783","authenticated-orcid":false,"given":"Steven A.","family":"Wrobel","sequence":"additional","affiliation":[{"name":"Buck Institute for Research on Aging, Novato, 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