lPIV is a widely accepted tool for making measured. This method allows simultaneous non-intrusive temperature and velocity measurements in integrated accurate measurements in microscale flows. The particles cooling systems and lab-on-a-chip devices. that are used to seed the flow, due to their small size, undergo Brownian motion which adds a random noise component to the measurements. Brownian motion intro- duces an undesirable error in the velocity measurements, but also contains valuable temperature information. A PIV algorithm which detects both the location and broadening of the correlation peak can measure velocity as well as temperature simultaneously using the same set of images. The approach presented in this work eliminates the use of the calibration constant used in the literature (Hohreiter et al. in Meas Sci Technol 13(7):1072–1078, 2002), mak- ing the method system-independent, and reducing the uncertainty involved in the technique. The temperature in a stationary fluid was experimentally measured using this technique and compared to that obtained using the particle tracking thermometry method and a novel method, low image density PIV. The method of cross-correlation PIV was modified to measure the temperature of a moving fluid. A standard epi-fluorescence lPIV system was used for all the measurements. The experiments were conducted using spherical fluorescent polystyrene-latex particles suspended in water. Temperatures ranging from 20 to 80°C were

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P. Chamarthy, S. T. Wereley, and S. V. Garimella, “Non-Intrusive Temperature Measurements Using Microscale Visualization Techniques,” Experiments in Fluids