Image Analyst MKII provides complex image processing tasks in a biologist-friendly manner.

Fluorescence microscopy image analysis
automation - time series - physiology

Absolute Millivolt Potentials From Tetramethylrhodamine Methyl Ester (TMRM) and FLIPR fluorescence

Mitochondrial Membrane Potential Assay Model

   The absolute calibrated ΔψM assay is based on fluorescence microscopy of the cationic dye (TMRM; tetramethylrhodamine methyl ester) together with an anionic, fluorescent plasma membrane potential indicator (PMPI; a bis-oxonol; FLIPR plasma membrane potential kit; Molecular Devices). Our technology back-calculates ΔψP and ΔψM that drive changes in the time courses of fluorescence intensities.
   Commonly used ΔψM assays often lead to data misinterpretation when plain fluorescence is analyzed. This is because all of these probes are influenced by multiple properties of cells other than ΔψM, such as cell size, mitochondrial density, binding and plasma membrane potential (ΔψP).
   Fluorescence intensity changes of redistribution-type potentiometric probes reflect potentials distorted in time by their slow diffusion across the plasma membrane. The calibration algorithm models and cancels these effects. The algorithm takes cell size, mitochondrial content, ΔψP, probe binding and auto- or background fluorescence into account to calculate ΔψM.
   The assay requires recording of fluorescence time courses to provide internal calibration. Calibration is performed by using standardized paradigms of calibrant additions. The software interprets fluorescence changes and converts them to millivolts. See how it works in practice.

the biophysical model of the potentiometric calibration

The electrostatic barrier model of ion transport through the plasma membrane (see scheme on the right) accurately describes the behavior of the probes in cells. This model provides the calibration rate equation (below the cell). The ΔψP is calculated by solving this equation for ΔψP. ΔψM is calculated by the Nernst equation where [TMRM]M and [TMRM]C are expressed by the rate equation and the total fluorescence. See definition of terms in the calibration equations here (17). 

Mitochondrial Membrane Potential Calibration Equations

In practice, the calculation of absolute millivolt values of ΔψM and ΔψP is performed by finding all required parameters in the calibration equations. An internal calibration protocol provides all of this information. The Membrane Potential Calibration Wizard of Image Analyst MKII calculates all required parameters and applies the calibration equations to the fluorescence time courses.

The internal calibration encodes the absolute values of ΔψP and ΔψM in the fluorescence intensity time courses. Importantly, this enables not only absolute millivolt value readout, but also unbiased comparison of different samples.

The calibration requires two axillary assays (measurement of mitochondria:cell volume fractions and the binding affinity/activity of TMRM to membranes). These assays rely on confocal microscopic recordings and image analysis in Image Analyst MKII. See protocols here. Alternatively, volume fractions may be known from literature. We found that the binding affinity of TMRM (expressed by aR') is within a narrow range between a variety of samples. Therefore in most application a 0.36 value can be used.

The Unbiased and Absolute Calibrated Mitochondrial Membrane Potential Assay

Image Analyst MKII is a one-of-a-kind solution for the measurement of the absolute magnitude of mitochondrial membrane potential (ΔψM) in intact cells.

Image Analyst MKII provides the complete plasma and mitochondrial membrane potential measurement technique developed by Akos Gerencser and colleagues (17). This has been extended with additional variants of the calibration, using different calibration points and assumptions. For biologists with no biophysical or mathematical expertise, the intuitive Membrane Potential Calibration Wizard dialog provides easy and routine operation. This is supported by protocols for data acquisition, image processing pipelines for measurement of fluorescence intensities in image data from a variety of formats.

Why to look at ΔψM ?

  • ΔψM is a key bioenergetic parameter:

    • the major component of the proton motive force that determines the maximal available rate of ATP formation in mitochondria
    • knowledge of ΔψM helps to interpret alterations in energy metabolism when matched with cell respirometry, e.g. to identify uncoupling, or decreased activities of respiratory complexes or ATP synthesis/transport
    • high proton motive force is thought to be associated to increased production of free radicals
  • Assaying ΔψM is relevant to research of:

    • aging: efficiency of energy production, reactive oxygen species formation
    • cancer: Warburg effect, cell-to-cell heterogeneity
    • metabolism: uncoupling proteins, substrate oxidation pathways, substrate switching
    • diabetes: ΔψM is a central component of the canonical pathway of insulin secretion

Why most common fluorescence techniques fail to correctly measure ΔψM ?

  • TMRM, TMRE non-quench mode (without using the Membrane Potential Calibration Wizard):

    • The readout is a function of cell size, mitochondrial density, plasma membrane potential (ΔψP), probe binding and time
    • Most often changes in ΔψP are misinterpreted as changes in ΔψM
    • relative to baseline measurement
  • TMRM, TMRE, Rhodamine 123, DiOC6(3) quench mode:

    • Relies on the assumption of a constant quench limit
    • The readout is a function of mitochondrial density
    • relative to baseline measurement
    • A common mistake in flow cytometer applications is that quench mode probes report mitochondrial mass and not potentials
    • Toxicity
  • JC1 emission ratio

    • The probe accumulation is not an equilibrium process, therefore the readout is dependent on ΔψP, time and surface to volume ratios.
    • J-aggregates are sensitive to oxidation
    • The JC-1 emission ratio cannot be calibrated to millivolts because of the above confounding factors, and comparison of different samples can be easily misleading

Read more about these here or here

What questions can be addressed with an absolute ΔψM assay?

  • Determination of ΔψM in millivolts in single or populations of cells

  • Comparison of ΔψM in different samples (different cell types, pre-treatments, genotypes or individuals)

    • E.g. comparison of ΔψM in embryonic stem cell lineages (14)
    • E.g. comparison of ΔψM between type 2 diabetic and non-diabetic beta-cells (26)
  • Accurate comparison of relative changes between specimens with different amounts of mitochondria

  • Measurement of changes of ΔψM when ΔψP is also changing

    • E.g. in stimulated neurons (17)
    • E.g. in glucose-stimulated beta-cells (26)
  • Measurement of the heterogeneity of ΔψM in cell populations

    • E.g. in populations of type 2 diabetic and non-diabetic beta-cells (26)
  • Modular kinetic analysis of oxidative phosphorylation

    • E.g. in pancreatic β-cells (41)
  • ATP assay surrogate: ATP/ADP, phosphorylation potential are thermodynamically linked to ΔψM.

    • E.g. to asses glucose-response of pancreatic β-cells (26)
Development of the unbiased, absolute mitochondrial membrane potential assay has been supported by: SBIR/STTR  NIDA