This letter focuses on the remote reading of high-resolution microfluidic and passive (i.e., batteryless and chipless) temperature sensors. These sensors are remotely interrogated from a 24GHz Frequency-Modulated Continuous-Wave radar performing a mechanical beam scanning for locating the sensors and measuring the variation of sensors electromagnetic echo level due to temperature fluctuation. From radar measurement data an estimator is proposed here for determining the meniscus position of the fluid inside the sensors microchannel and for deriving the temperature at the sensors location. It is shown that the estimator presents a convenient linear dependence with the meniscus position at the sensor location. The smallest measurable variation of the meniscus position is of 40µm.Introduction: Nowadays the wireless reading of passive sensors is still a very challenging issue to overcome. In order to render such sensors competitive compared to the active sensors, two main technical improvements must be performed: (1) increasing the reading range to reach significantly more than few meters and, (2) achieving higher measurement resolution. As a matter of fact the typical interrogation range achievable by sensors integrated in Radio-Frequency Identification (RFID) tags does not exceed few meters and the typical long-range qualification for batteryless RFID tags is around 12 meters [1, 2]. Moreover passive sensors using an electromagnetic transduction (see, e.g., [3][4][5]) allow higher reading range (up to some decameters [6]) but suffer from poor measurement resolution of the physical or chemical quantity of interest compared to their active counterpart.In this Letter we report for the first time a wireless reading technique for improving the measurement resolution of wireless, batteryless and chipless sensors. The technique is applied here for the remote interrogation of the passive microfluidic temperature sensors reported in [7]. This novel technique consists of performing the mechanical scanning of the monostatic FM-CW radar antenna main lobe in order to locate the sensor in the 3D illuminated scene and to compute an estimator for remotely deriving the temperature at the sensor location. Unlike previously reported approaches (see, e.g., [6]) this estimator is not only computed from the beat frequency spectrum obtained in the sensor direction but, from the appropriate combination of numerous spectra measured in many directions around the sensor direction.After a very brief reminder of the microfluidic sensor design reported in [7] the Letter describes the proposed radar beam scanning technique for the sensor detection and wireless reading. The last section focuses on the remote estimation of the meniscus position of the fluid (water) inside the sensors microchannel by the original combination of multiple beat frequency spectra. The temperature resolution of the microfluidic sensor is finally estimated.