A laboratory report is a summary. It tells you what the result was. A batch record tells you how the result was produced. Which reagent lots were used, which instrument ran the samples, what the ambient temperature was, whether anything unusual happened during the run. When a result is questioned, the batch record is what you reach for. Read more →
Luminex multiplex panels are genuinely useful when you need to measure several analytes from a small sample volume. But they are also more complex to set up and interpret than a single-plex ELISA, and the complexity is not always obvious from the kit instructions. This is a practical overview of the decisions and checks that matter most when running a multiplex panel for the first time.
ELISA validation looks straightforward on paper. You run your accuracy, precision, and linearity experiments, you calculate your CVs, and you write it up. But a surprising number of validation packages that arrive at contract laboratories for method transfer contain the same small gaps. Gaps that are easy to miss during peer review and expensive to find later.
Protein quantification is one of those tasks that looks like a solved problem until you get an unexpected result and have to work backwards to find out why. BCA, Bradford, and fluorescence-based methods each have genuine strengths, and each has specific conditions under which they give unreliable numbers. Choosing the right one for your sample type is not complicated, but it does require knowing what is in your sample.
Method transfers fail for predictable reasons. The written protocol is incomplete. The originating laboratory has habits that were never written down. The reagent specifications are vague. None of these problems are difficult to fix before the transfer starts, but they are time-consuming and expensive to fix after the receiving laboratory has already spent weeks getting inconsistent results.
Cell viability assays are one of the most routine measurements in biological research, and yet the choice of assay format still catches people out. MTT, resazurin, and trypan blue exclusion each measure something slightly different, and the differences matter when you are trying to interpret a dose-response curve or compare results across experiments.
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