Image analysis device, image analysis method, image analysis program, cell manufacturing method, cell culturing method, and cell manufacturing device
An image analysis device includes a first calculating part that calculates a magnitude of motion of an image element from time-series images of pulsating myocardial cells, a second calculating part that calculates a feature quantity on the basis of the magnitude of the motion of the image element calculated by the first calculating part, and an identifying part that identifies whether the image element is a predetermined image element on the basis of the feature quantity calculated by the second calculating part.
1. An image analysis device comprising a computer configured to operate as:
a first calculating part that calculates a magnitude of motion of an image element from time-series images of pulsating myocardial cells;
a second calculating part that calculates a feature quantity based on the magnitude of the motion of the image element calculated by the first calculating part; and
an identifying part that identifies whether the image element is a predetermined image element based on the feature quantity calculated by the second calculating part, wherein
the second calculating part calculates the feature quantity based on a comparison between magnitudes of motions of image elements in images of two time zones which are temporally successive among the time-series images.
2. The image analysis device according to claim 1 ,
wherein the second calculating part calculates a plurality of feature quantities, and
wherein the identifying part identifies whether the image element is the predetermined image element based on the plurality of feature quantities.
3. The image analysis device according to claim 1 , wherein the second calculating part calculates the feature quantity using a time period from a value which is approximately ½ times a lower limit value to an upper limit value in a distribution of a time period required for one pulsation as a length of the time zone.
4. The image analysis device according to claim 1 , wherein the second calculating part calculates a frequency spectrum of the magnitude of the motion of the image element and calculates the feature quantity based on the calculated frequency spectrum.
5. An image analysis method comprising:
computing, by a computer, a magnitude of motion of an image element from time-series images of pulsating myocardial cells;
computing, by the computer, a feature quantity based on the calculated magnitude of the motion of the image element; and
identifying, by the computer, whether the image element is a predetermined image element based on the calculated feature quantity, wherein
the computer calculates the feature quantity based on a comparison between magnitudes of motions of image elements in images of two time zones which are temporally successive among the time-series images.
6. A non-transitory computer-readable storage medium on which is stored an image analysis program that causes a computer to:
calculate a magnitude of motion of an image element from time-series images of pulsating myocardial cells;
calculate a feature quantity based on the calculated magnitude of the motion of the image element; and
identify whether the image element is a predetermined image element based on the calculated feature quantity, wherein
the feature quantity is calculated based on a comparison between magnitudes of motions of image elements in images of two time zones which are temporally successive among the time-series images.