Abstract: An imaging lens includes a first lens with a negative refractive power, a second lens with a positive refractive power, a third lens with a positive refractive power and a fourth lens with a refractive power arranged in order from a first side to a second side, and an aperture stop is disposed between the first lens and the third lens. The first lens, the second lens, the third lens and the fourth lens are made from glass, a total number of lenses with refractive powers in the imaging lens is less than 5, the second lens and the third lens are aspheric glass lenses, and a full field of view of the imaging lens is greater than 120 degrees.

Abstract: An optical lens includes a first lens group, a second lens group and an aperture stop. The first lens group includes a first lens and a second lens, and the second lens group includes a third lens and a cemented lens. The aperture stop is disposed between the second lens and the cemented lens, a total number of lenses with refractive powers in the optical lens is less than eight, and the optical lens includes at most three aspheric lenses. The optical lens satisfies the condition 0.9<D1/IM<1.6, where IM denotes an image circle diameter measured on a visible-light focal plane of the optical lens, and D1 denotes a lens diameter of the first lens.

Abstract: An imaging lens includes a first lens with a negative refractive power, a second lens with a positive refractive power, a third lens with a positive refractive power and a fourth lens with a refractive power arranged in order from a first side to a second side, and an aperture stop is disposed between the first lens and the third lens. The first lens, the second lens, the third lens and the fourth lens are made from glass, a total number of lenses with refractive powers in the imaging lens is less than 5, the second lens and the third lens are aspheric glass lenses, and a full field of view of the imaging lens is greater than 120 degrees.

Abstract: A cancerous lesion identifying method via hyper-spectral imaging technique comprises steps of: acquiring a plurality of first pathology images via an endoscopy, wherein the first pathology images are cancerous lesion images respectively; importing the first pathology images into an image processing module to acquire a plurality of first simulating spectra of the first pathology images so as to generate a principle component score diagram in accordance with the first simulating spectra; defining a plurality of triangle areas in the principle component score diagram in accordance with the first simulating spectra; determining whether a principle component score of a second simulating spectrum of a second pathology image is within any one of the triangle areas; and confirming the second pathology image belongs to one of the cancerous lesion images when the principle component score of the second simulating spectrum is within any one of the triangle areas.

Abstract: A cancerous lesion identifying method via hyper-spectral imaging technique comprises steps of: acquiring a plurality of first pathology images via an endoscopy, wherein the first pathology images are cancerous lesion images respectively; importing the first pathology images into an image processing module to acquire a plurality of first simulating spectra of the first pathology images so as to generate a principle component score diagram in accordance with the first simulating spectra; defining a plurality of triangle areas in the principle component score diagram in accordance with the first simulating spectra; determining whether a principle component score of a second simulating spectrum of a second pathology image is within any one of the triangle areas; and confirming the second pathology image belongs to one of the cancerous lesion images when the principle component score of the second simulating spectrum is within any one of the triangle areas.