Technical writing and short demo videos on production planning, lab data, and the math behind running a commercial micropropagation operation. Written by the team that builds InVitroManager, for the people who run the labs.
Long-form pieces and short walkthroughs on tissue culture production, for lab owners and managers. New entries every week or two.
How a computer-vision model finds each culture vessel in a photo and flags the contaminated ones, how that model is trained from annotated images, and three lower-tech ways we keep contamination down: routing, cutting technique, and chemistry.
Read the guide →How a tissue culture lab stops a mite outbreak — spacing cultures onto foil trays, coating those trays with a boric-acid barrier the mites won't cross, and pulling the Aspergillus they feed on.
Read →Two times an expert told me I was routing production the wrong way: once by adding a step, once by refusing one. Both times the model found the cheaper path. Why variable cost per salable plant, not cost per step, is the number that decides profit.
Read →Optimizing the mineral nutrition of a tissue culture medium as a designed experiment — working in ions rather than salts, in charge equivalents so electroneutrality is free, and selecting an I-optimal subset that maps the response surface in ~39 runs.
Read →The five inputs every honest six-month forecast needs, why exponential math fools intuition, the production-network model, and what makes hand-built spreadsheets fall behind.
Read →The nine fields every work event in a commercial tissue culture lab should carry, the three entity-level fields that make them queryable later, and where data quietly leaks out of most operations.
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