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Femtonics is one of the most dynamically expanding manufacturers of two-photon laser scanning microscopy. We make unique, custom designed 2D systems and as a pioneer, we have introduced real-time 3D imaging technology to the market. By our modularity, each Femtonics microscope fits the researcher’s own needs and it can suit a wide variety of biological in vivo and in vitro applications. Our other advantage is our multidisciplinary team which continually enhance and confirm the scientific applicability of our new developments.

Technology and science.
This is what we do.



  • Zheng et al demonstated in Neuron, that mapped basal Ca2+ in neurons and astrocytes with submicron resolution helps to unveil heterogeneous concentration landscapes that depend on age and preceding activity of the bain. Monitoring nanomolar-scale molecular interaction between OGB1 nanomolar sensitivity dye and Ca2+ was performed by Femto2D-Galvo equipped with FLIM module.

    Zheng et al, Neuron, 2015

  • Kerekes et al combined electrophysiological recording with two-photon imaging to study human neocortical slices prepared from epileptic and tumor patients and maintained in dual perfusion chamber. They demonstrated that calcium dynamics of human neurons measured in whole-cell, LFP and intracellular calcium levels, are comparable to those found in animals, and the combined method allows simultaneous optical and electrophysiological examination of large neuronal populations, individual neurons and neuronal assemblies with high spatial and temporal resolutions.

    Kerekes et al, Neurophotonics (2014)


  • Using fast 3D two-photon imaging (Femto3D-AO) in combination with electrophysiological recordings and a caged glutamate compound (DNI-Glu-TFA), Chiovini et al demonstrated that a single activation of clustered glutamatergic inputs in the distal dendrites of FS-PV INs, which generate a depolarizing hump and reproduce the hot spots associated with spontaneous SPW-R events, is capable of generating secondary membrane oscillations in the ripple frequency range.

    Chiovini et al, Neuron (2014)