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Main device characteristics have been measured at T=4.2 K by using a low noise readout electronics.
It is then amplified using a low noise amplifier and is down-converted to an intermediate frequency.
Phase contrast and fluorescent images were acquired using a low noise digital camera.
White light was then illuminated through a condenser and polarizer and the light scattered at the tip was collected using a 100× objective (NA 0.9) and imaged using a low noise deep cooled CCD Princetonn Instruments, PIXIS) connected through a Newport spectrometer.
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High-energy resolution can be obtained by using a low-noise, high-bandwidth DC SQUID to measure the small change in magnetization upon the absorption of an X-ray.
The outputting piezoelectric voltage was measured using a low-noise preamplifier (Model SR560, Stanford Research Systems).
Changes in NO concentration were measured by amperometric recording, using a low-noise Petite Ampere potentiostat (BAS Instruments, West Lafayette, USA) at a constant electrode potential of +750 mV versus an Ag/AgCl bath electrode.
A constant potential (−650 mV relative to a reference electrode) was applied to the CPEs using a low-noise potentiostat ('Biostat', ACM Instruments, Cumbria, UK).
In this paper, we have developed an equivalent circuit and a noise analysis model for extracellular neural recordings using a low-noise amplifier with a glass micropipette.
Functional images were acquired using a low-impact-noise acquisition fMRI sequence, which increases the dynamic range of the BOLD signal in response to acoustic stimuli (Seifritz et al. 2006).
The resulting gray-scale images were segmented using a low-pass filter to remove noise and a fixed threshold to extract the mineralized bone phase.
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