Choosing an elispot plate reader: why spot counting is an image analysis problem rather than an optical one, what the counting parameters have to be locked to before a study, and the controls that make a spot count comparable between plates and laboratories
An ELISpot result is a number produced by an algorithm from an image, and the parameters that algorithm uses decide the number as much as the biology does. Two readers, or one reader with two parameter sets, will report different counts from the same plate. This page covers choosing a reader and locking the analysis so a study's counts mean one thing throughout.
- the counting parameters that must not change during a study
- locked template
- where the positive control belongs
- per plate
- the containment human cells in the assay are handled at
- BSL-2
Figures in this panel are the analysis practice this page insists on and the containment human cells are handled under, linked in the sources below. They are identifiers, not prices: BioBricks publishes verified prices for synthesis services only, and does not imply an instrument price index it has not measured.
- 4 vendor service pages verifiedevery figure matched verbatim to the vendor's page
- Quoted and dated, never estimatedlast verification pass 2026-08-24
- 1 service classes coveredeach with measured search demand behind it
Choosing the reader and fixing the counting
- Judge it on the counting, not the optics. Every reader images a well adequately. What separates them is how the software separates a genuine spot from a speckle, how it handles merged spots in a high responder, and how reproducibly it does both. Ask to run your own plates, including a high responder.
- Lock the counting parameters before the study starts. Size, intensity and gradient thresholds decide the count. Set them on representative plates, freeze them, and apply the same template to every plate in the study. Adjusting parameters per plate is adjusting the result.
- Require a per-well image that a person can audit. The count has to be checkable. A reader that stores the image with the count lets somebody look at a surprising well; one that reports only numbers leaves an outlier unexplainable.
- Put a positive control on every plate. A polyclonal stimulus well on each plate shows the cells responded and the detection worked. A plate with no response and no positive control cannot be distinguished from a plate where the assay failed.
- Standardise plate handling, because it shows up in the count. Washing, drying and the time between development and reading all change spot appearance. Dry plates fully and read them in a consistent window, and record the reading date with the count.
Cell input is the variable that dominates
Spot counts scale with the number of cells plated, so counting and viability before plating decide comparability more than anything downstream. A viability difference between donors becomes a response difference if input is not normalised.
Report counts per fixed number of input cells and record the viability. Raw spot counts per well are not comparable between samples prepared on different days.
Fluorescent multiplexing
Detecting two or three cytokines from one well with different fluorophores gives far more information per precious sample, and it needs a reader with the right filters and a counting algorithm that handles overlapping spots.
Test the multiplex counting on real plates rather than trusting the specification. Resolving two colours in one spot is the hardest thing these systems do.
Validating the assay itself
Where results support a decision, the assay needs precision, linearity with input and a defined positivity criterion established in advance. A positivity rule chosen after seeing a study's spread is not a criterion.
Run a bridging control sample across every plate and every operator. It is the only way to separate assay drift from the biology in a study that runs for months.
Where a microtiter plate reader differs from a spot counter
An absorbance or fluorescence reader measures a well as one number; a spot counter measures the image of a membrane and counts objects in it. They answer different questions, and an instrument sold as both does the second less well, because the optics and the illumination that make a flat well read evenly are not the ones that resolve small spots against a textured membrane.
Where a laboratory needs both, it is worth asking which of the two the instrument was designed as. The other function is usually adequate rather than good, and knowing which way round it is decides which assays should run on it.
A plate spectrophotometer, and what it shares with a cuvette instrument
A plate reader is a spectrophotometer whose light path runs through a well, so the path length is whatever volume was dispensed: fill differences become absorbance differences, and that is the first thing to check when a plate reads unevenly. Filter based readers are bright and fixed at set wavelengths; monochromator readers scan and cost signal for it. Both report against a standard curve on the same plate rather than against Beer's law arithmetic, which is what makes the curve, the blank wells and the dispensing accuracy the whole of the method.
A luminescence reader, and what it has to do well
Luminescence is a photon-counting measurement with no excitation light, so the instrument's job is to collect as many photons as possible and keep the neighbours out: a sensitive detector, a short path from well to detector, and good crosstalk rejection between wells, which is why white plates and a properly baffled reader matter. Glow and flash assays have different needs, since flash chemistry requires injectors and timing. Dynamic range and the lowest reliably measurable signal are the specifications to compare rather than the top number.
A luminometer plate, and why the plastic matters
Luminescence has no excitation light, so the plate's job is to keep the photons from a well inside it: white opaque plates reflect light back to the detector and stop crosstalk, which is why they are the default, and black plates are used only where a fluorescent channel is read in the same run at the cost of signal. Clear plates leak light between wells and into the reader. Well volume and geometry set the signal too, and a plate stored in the light carries its own phosphorescent background.
Common questions
- What actually separates one elispot plate reader from another?
- The counting software. Spot detection, how merged spots in a strong responder are resolved and how reproducible the count is between reads are what differ; the imaging is adequate on all of them.
- Why do two readers give different counts?
- Because different algorithms and parameter sets separate spots from background differently. Counts from two systems are not interchangeable, which is why a study should use one reader and one locked parameter template.
- Should counting parameters be adjusted per plate?
- No. Set them on representative plates before the study and freeze them. Adjusting per plate means the analysis responds to the result, which is the hardest kind of bias to detect afterwards.
- What controls does an ELISpot plate need?
- A negative control well with no stimulus, a positive polyclonal stimulus well, and, for a study, the same donor control sample across plates. Without the positive control a negative result is uninterpretable.
- How much of a plate reader assay is the instrument?
- Less than people expect. The plate, the incubation, the blocking and the operator's timing move a result more than the optics do, which is why two laboratories with identical readers disagree. Standardise the assay first and treat the reader as the last thing to change.
- How does a microplate reader vs spectrophotometer comparison come out?
- They measure the same physics through different optics. A cuvette instrument has a long fixed path and gives the better absolute absorbance on one sample; a plate reader has a short path set by the liquid volume and gives you ninety six comparable relative readings. So a concentration from first principles belongs on the cuvette instrument, and anything with a standard curve across a plate belongs on the reader.
Get a shortlist for your project
Browse by service class
Sources
Cite or embed this figure
The median advertised gene synthesis price per base pair in the US research synthesis services market was $0.11 in August 2026, across 4 verified vendor service pages recorded in BioBricks Synthesis Price Index.
Cite as: "BioBricks Synthesis Price Index", updated 2026-08-24, https://biobricks.org/elispot-plate-reader/.