We described a hybrid system of scanning electrochemical microscopy (SECM) and scanning ion conductance microscopy (SICM) with ion current feedback nanopositioning control for simultaneous imaging of noncontact topography and spatial distribution of electrochemical species. A nanopipette/nanoring electrode probe provided submicrometer resolution of the electrochemical measurement on surfaces with complex topology. The SECM/SICM probe had an aperture radius of 220 nm. The inner and outer radii of the SECM Au nanoring electrode were 330 and 550 nm, respectively. Characterization of the probe was performed with scanning electron microscopy (SEM), cyclic voltammetry (CV), and approach curve measurements. SECM/SICM was applied to simultaneous imaging of topography and electrochemical responses of enzymes (horse radish peroxidase (HRP) and glucose oxidase (GOD)) and single live cells (A6 cells, superior cervical ganglion (SCG) cells, and cardiac myocytes). The measurements revealed the distribution of activity of the enzyme spots on uneven surfaces with submicrometer resolution. SECM/SICM acquired high resolution topographic images of cells together with the map of electrochemical signals. This combined technique was also applied to the evaluation of the permeation property of electroactive species through cellular membranes.

Scanning ion conductance microscopy (SICM) using a nanopipette as a probe and ionic current as a feedback signal was introduced as a novel technique to study live cells in a physiological environment. To avoid contact between the pipette tip and cells during the conventional lateral scanning mode, we adopted a standing approach (STA) mode in which the probe was moved vertically to first approach and then retracted from the cell surface at each measurement point on an XY plane. The STA mode ensured non-contact imaging of the topography of live cells and for a wide range of uneven substrates (500 x 300 microm to 5 x 5 microm). We also used a field-programmable gate array (FPGA) board to enhance feedback distance regulation. FPGA dramatically increased the feedback speed and decreased the imaging time (450 s per image) with enhanced accuracy and quality of live cell images. To evaluate the potential of the STA mode for SICM, we carried out imaging of a convoluted surface of live cell in various scan ranges and estimated the spatial resolutions of these images.

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