Abstract: The method for detecting mechanical and magnetic features comprises the steps of: aiming a probe of the sensor at a sample; defining several detected points for detection on the sample; detecting one of points and comprising the steps of: approaching the probe to the detected point from a predetermined height; contacting the probe with the detected point and applying a predetermined force on the detected point; making the probe far away from the detected point until to the predetermined height; shifting the probe to the next point for detection and repeating the detection; collecting the data of each of the detected points while the probe rapidly approaches to the points from the predetermined height; using a signal decomposition algorithm to transform the collected data to a plurality of data groups; and choosing a part of the data groups to be as data of feature distributions of the sample.

Abstract: A magnetic distribution detection method includes the steps of providing a magnetic sensor and a sample, selecting a multiple of measuring points on the sample, sensing the measuring points by the magnetic sensor, obtaining a multiple of sense data and a series of the heights of the magnetic sensor from each measuring point, using a signal decomposition algorithm to convert these sense data into data groups, and selecting one of the data groups as the magnetic distribution data of the sample.

Abstract: The method for detecting mechanical and magnetic features comprises the steps of: aiming a probe of the sensor at a sample; defining several detected points for detection on the sample; detecting one of points and comprising the steps of: approaching the probe to the detected point from a predetermined height; contacting the probe with the detected point and applying a predetermined force on the detected point; making the probe far away from the detected point until to the predetermined height; shifting the probe to the next point for detection and repeating the detection; collecting the data of each of the detected points while the probe rapidly approaches to the points from the predetermined height; using a signal decomposition algorithm to transform the collected data to a plurality of data groups; and choosing a part of the data groups to be as data of feature distributions of the sample.

Abstract: A magnetic distribution detection method includes the steps of providing a magnetic sensor and a sample, selecting a multiple of measuring points on the sample, sensing the measuring points by the magnetic sensor, obtaining a multiple of sense data and a series of the heights of the magnetic sensor from each measuring point, using a signal decomposition algorithm to convert these sense data into data groups, and selecting one of the data groups as the magnetic distribution data of the sample.

Abstract: The present invention relates to an optoelectronic device. The optoelectronic device disclosed in the present invention includes: a carrier; and a light controllable layer patterned to be formed on the carrier, so as to form at least one light controllable element, where the at least one light controllable element is independently controllable by a light beam, so that the at least one light controllable element is switchable between two or more states.