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.
The current-inventory plot shows every plant you hold and how old it is, in one stacked bar. How it is built from what you made minus your losses, and how to turn it into a weekly subculture list you can act on. Interactive, with sample data.
Read the guide →A subscription funnel and a tissue-culture production line both leak at every stage and settle to an equilibrium. The one real difference is where the growth engine sits — inside the pipe, or looping back to the top. An interactive model, two skins.
Read →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 →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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