In life science and pharmaceutical research, the ability to simultaneously analyze different variables and conditions is key for maximizing throughput and reliability. As such, microplate readers are an essential instrument in many laboratories.
However, as the capacity and abilities of microplate readers has expanded, so too has the complexity of experimental design and the choice of plates, instruments and assays.
There are now many things to consider when trying to achieve the best data quality and experimental efficiency. This listicle discusses easily overlooked factors that can impact your results to help you get the very best from your microplate reader.
Download this listicle to discover:
- How to optimize your signal-to-background ratio
- The best multi-well plates to use for your experiment
- How to reduce data variability in heterogenous samples
Microplates in Action: 7 Ways To Get the Best Out of Your Microplate Reader 1
Introduction
In life science and pharmaceutical research,
where the reliability of results and maximum
throughput are key, the ability to simultaneously
analyse different variables and conditions is
essential. Since their development in the 1950s
by the Hungarian microbiologist Dr. Gyula
Takátsy, microplates – also known as multi-well
plates – have become a standard in research
to help enable the preparation, analysis and
processing of multiple samples at once.1,2
Microplate readers can measure and quantify
the reactions occurring in as many as 3,456
microplate wells, allowing high-throughput
sample analysis.
With the wide range of plate reader modes,
microplate types, and assay and reagent
kits now available, microplate reader assays
have applications in almost every area of
life sciences and pharmaceutical research,
including environmental monitoring, drug
discovery and cell biology.3 However, as the
experimental capacity of microplate readers
has increased, so too has the complexity of
experimental design and implementation. There
are many different things to consider when
creating microplate protocols, including ways
to increase your signal-to-blank (S/B) ratio (i.e.,
the ability to distinguish smaller differences
between samples), reduce variance and improve
overall data quality. This listicle will discuss the
factors that can affect data quality to help you
really get the best from your microplate reader.
1. Consider the microplate colour
One of the first steps to take when designing a
microplate-based experiment is choosing the
microplate. While the first consideration may
be the number of wells, the microplate colour
and material are also critical. Whether white,
black or transparent, choosing the wrong plate
for the assay can have a significant impact on
the quality of results or even make the assay
almost impossible to read.
In absorbance assays the amount of light
passing through each sample is measured.
For this reason, absorption assays can only be
carried out in transparent plates. However, the
material of the plate can also have an effect.
The most common plates used are made of
polystyrene (PS), which are well suited for
measurements above 300 nm wavelength, due
to their high transmission and low background
absorbance. For experiments likely to give
results below 300 nm in the UV range, such as
Microplates in Action: 7 Ways To Get the
Best Out of Your Microplate Reader
LISTICLEMicroplates in Action: 7 Ways To Get the Best Out of Your Microplate Reader 2
DNA and RNA quantification assays, a plate
made from a UV-transparent material like
cycloolefin (COC) should be selected.
In a fluorescence assay, the excitation event is
not just contained to the fluorophore – other
experimental components (including the
plate itself) can generate autofluorescence,
resulting in high background. Opaque black
plates can significantly reduce plate-derived
autofluorescence and high background signals,
so are the optimal choice for a fluorescencebased assay.
The chemiluminescent signals generated
during in-well reactions in a luminescence
assay are often relatively weak. Using an
opaque white plate helps reflect these signals,
enhancing and amplifying them to lower the
limit of detection. Some suppliers also offer
grey plates to reduce cross-talk, i.e., signals
from adjacent wells.
2. Optimise the gain setting
Fluorescence- and luminescence-based
assays depend on an artificial parameter
called “gain”. The gain setting controls the
microplate reader’s dynamic range – the ratio
between the brightest and the dimmest signals
that the instrument can quantify. A high gain
setting amplifies weak light signals, while a
low gain setting should be used for assays that
are already producing high-intensity signals.
If the gain setting is not optimised for the
assay in question, reader sensitivity and data
quality can be negatively affected. For example,
a gain setting that is too high can result in
oversaturation of the detector and give results
exceeding the upper limit of detection (Figure
1). In comparison, a gain setting lower than the
optimal value will place readings too close to
the blank sample value, which can no longer be
distinguished from the background.
The optimal value for gain is one that gives
the best S/B ratio. The gain of a microplate
reader can be optimised manually by adjusting
the settings in accordance with the microplate
well that is expected to generate the strongest
signal – perhaps a positive control. This takes
place based on experience or by trial and
error. However, the most accurate option is to
have the machine determine the optimal gain
setting for you. Some modern instruments
even have a fully automated option, such as the
Enhanced Dynamic Range feature. This not only
maximises the dynamic range – allowing very
bright and very dim samples to be measured
in the same plate – but also continuously and
automatically adjusts gain individually for each
well throughout an experiment, ensuring a
consistent optimal gain.
3. Consider the flash number
During absorbance- or fluorescence-based
assays, the microplate reader will direct flashes
of light at the sample well and then detect the
resulting transmission or emission (Figure
2). Most modern plate readers can produce
high flash frequencies. The greater the flash
number per well, the longer it will take to read
the whole plate – this is particularly important
to consider when performing high-throughput
methodologies or evaluating assays with
rapid kinetics and short gaps between desired
timepoints.
With regard to the experiment time, a low flash
number therefore seems ideal, but low flash
numbers may also increase data variability.
Using multiple flashes allows an average
reading to be taken. The more flashes are
used, the more the average has the potential
to stabilise, which improves data stability and
Figure 1. Influence of the gain setting on
standard curves. In this example, the optimum
gain setting determined by the microplate reader
was 589.Microplates in Action: 7 Ways To Get the Best Out of Your Microplate Reader 3
reduces variation. In particular, high flash
numbers for low concentration samples and
blank wells can decrease the coefficient of
variation, and help to reduce background noise,
resulting in an overall improvement in data
quality.
However, it should also be noted that extremely
high or maximum flash numbers can also be
suboptimal for many assays. After a certain
point (around 10–50 flashes, depending on the
experiment), the measurement time increases
with no discernible improvement to data quality,
while the overall lifetime of the light source is
decreased and there is also a risk of bleaching
fluorophores.
4. Optimise the focal height
The focal height of a microplate reader is the
distance between the detection system and the
sample in the microplate. This distance can
significantly impact the intensity of the detected
signal. Optimising the focal height ensures
the highest signal intensity, which is typically
observed just below the surface of a liquid
sample. The ideal focal height aligns the optics
with this plane, maximising signal intensity. In
contrast, a suboptimal focal height will result in
lower S/B ratios, a narrower assay window and
increased variation between sample replicates,
compromising data quality.
Depending on the make and model of your
microplate reader, the focal height may be
fixed, manually adjustable or automatically
determined. For efficiency, a microplate reader
with autofocus capability is the best option for
achieving high-quality results. As the peak
signal intensity is affected by the fill volume
of sample wells, data quality can be further
improved by ensuring consistency in fill volume.
5. Reduce autofluorescence
Many microplate assays use live cells and
therefore require culture media to maintain
cell viability during the measurement. However,
certain components of cell culture media, such
as foetal bovine serum (FBS) and phenol red pH
indicator, fluoresce when excited in the common
wavelength range, causing background
fluorescence issues. This reduces the S/B ratio
and dynamic range of the experiment, affecting
data quality and risking data loss at the edges
of the dynamic range.
One option to reduce autofluorescence is to
use an alternative, phenol red-free medium
and reduce FBS to the lowest possible level for
cell survival. For short term experiments, cells
can be suspended in very low-autofluorescence
buffers rather than media. Another alternative
is to alter the way that the microplate is read.
Reading from the bottom of the plate (bottom
Figure 2. Light source and detection system for fluorescence-based assays.Microplates in Action: 7 Ways To Get the Best Out of Your Microplate Reader 4
optics) rather than the top means that the
excitation and emission light doesn’t have to
travel through the medium above the cells,
reducing both autofluorescence derived from
the supernatant and the light lost due to nonspecific absorption.
6. Compensate for path length and the
meniscus
Path length is the distance light travels through
the sample before detection. This distance
is especially critical for direct absorbancebased calculations, as longer path lengths
result in higher optical density (OD) values
(Figure 3) and the OD values are converted
into the corresponding concentrations. The
path length is affected by both the fill volume
in the microplate well and the meniscus –
which means that the path length is longer
at the edges of the well than the middle. This
difference results in increased variation in
results if readouts are performed at multiple
locations in the well.
One method of dealing with the meniscus
effects is to minimise them. This can be
achieved by using plates with appropriate
hydrophobic surfaces, reducing or correcting
for agents like Triton X or TRIS that increase
meniscus depth. Simply filling wells to the
brim can also remove the meniscus effect.
For unavoidable meniscus formation, the
effects on absorbance measurements can
be compensated for by activating the “path
length correction” option in the protocol, if your
microplate reader offers it.
7. Reduce data variability in heterogenous
cell samples
Reducing data variability is essential for
generating highly accurate, reliable results.
Unfortunately, cell populations in cell-based
assays are often inherently very heterogeneous.
Even clonal adherent cell populations will be
distributed in a heterogeneous manner across
the bottom of the well, resulting in uneven
signal distribution. If well readouts are placed
only in the centre of a well, this can lead to
large amounts of inter- and intra-assay data
variation.
To overcome this variance, choose a microplate
reader that offers different well-scanning
patterns. By spreading measurement points
across the well – in orbital, spiral or matrix
Figure 4. Different well scanning patterns: single, orbital, spiral and matrix.
Figure 3. . How different fill volumes and path
lengths can affect absorbance readings.Microplates in Action: 7 Ways To Get the Best Out of Your Microplate Reader 5
patterns rather than just in the centre – a
complete picture of emitted signal can be built,
and more representative measurements taken
(Figure 4). Matrix scanning can take this a step
further, by allowing the selection or exclusion of
individual points or specific areas of the well.
Conclusion
Whether you’re designing a new assay or
looking to streamline an existing protocol,
optimising your microplate reader usage is
key for getting the best quality data. Although
the exact methods will vary depending on
the instrument and type of assay in question,
carefully considering aspects like focal height,
plate colour, path length and scanning pattern
can help you improve your results and get the
very best out of your microplate reader.
References
1. Auld DS, Coassin BS, Coussens NP et al. Microplate
Selection and Recommended Practices in Highthroughput Screening and Quantitative Biology. In:
Markossian s, Grossman A, Arkin M, et al, eds. Assay
Guidance Manual [Internet]. Bethesda, MD. Eli Lilly
& Company and the National Center for Advancing
Translational Sciences; 2020. https://www.ncbi.nlm.
nih.gov/sites/books/NBK558077/. Accessed February
5, 2025.
2. The Microplate: Utility in Practice. BMG Labtech.
https://www.bmglabtech.com/en/the-microplateutility-in-practice/. Accessed February 5, 2025.
3. Microplate Reader. BMG Labtech. https://www.
bmglabtech.com/en/microplate-reader/. Accessed
February 5, 2025.
Make sure you’re getting the most out
of your microplate assays