Tsinghua University

Li-An Chu

Hung-Yin Tsai

Hong Hocheng

Yu-Ching Lin

Rong-Shun Chen

Chien-Hung Lin

Ann-Shyn Chiang

Yen-Yin Lin

Wei-Kun Chang

Jhih-Shun Yang

Yu-Cheng Wu

An epi-cone shell light-sheet super-resolution system and an epi-fluorescence microscope are provided. The epi-cone shell light-sheet super-resolution system includes a light-emitting element, a lens set, and an objective lens. After passing through the lens set, the excitation light emitted by the light-emitting element is refracted into ring-shaped light and focused on the objective-lens back-focal plane. The objective lens focuses the ring-shaped light to form a ring-shaped light cone which is then focused on the sample position. The ring-shaped light cone has a fixed thickness. In addition, the same objective lens is used for both excitation and imaging, thus achieving an epi-fluorescence microscope.

Epi-cone shell light-sheet super-resolution system and microscope

A detecting platform for holding a tiny insect includes a main body forming a containing space, which passes through the main body and is surrounded by side walls of the main body. A first side wall and a second side wall of the side walls are opposite to each other, and the area of the second side wall is smaller than that of the first side wall. The main body forms a first opening and a second opening passing through the first side wall and the second side wall respectively for the tiny insects entering and leaving the containing space. A bottom plate covers a first through surface of the containing space to form a bottom surface and a detecting area is configured thereon to holding the tiny insects. Accordingly, the tiny insects can stay on the detecting area so as to detect the characteristics of the tiny insects expediently.

Detecting platform for holding a tiny insect

An image method for classifying insects includes the following steps: obtaining detecting images of the insects in a detecting area; obtaining a first foreground image related to the insects by background subtraction; extracting the saturation from the first foreground image and eliminating the non-characteristic objects therein to obtain a second foreground image; extracting the characteristics related to the insects from the second foreground image according to a threshold; and, determining the classifications or the sexes of the insects according to the characteristics. Accordingly, the image method for classifying insects can be used for automatically classifying the insects so as to save the manpower and time.

Image method for classifying insects and classifying process for insects

Growing community of inventors

Hsinchu, Taiwan

Li-An Chu