An imaging device connected to a neural network is provided. An imaging device having a neuron in a neural network includes a plurality of first pixels, a first circuit, a second circuit, and a third circuit. Each of the plurality of first pixels includes a photoelectric conversion element. The plurality of first pixels is electrically connected to the first circuit. The first circuit is electrically connected to the second circuit. The second circuit is electrically connected to the third circuit. Each of the plurality of first pixels generates an input signal of the neuron. The first circuit, the second circuit, and the third circuit function as the neuron. The third circuit includes an interface connected to the neural network.

A BSI image sensor includes a substrate including a front side and a back side opposite to the front side, a pixel sensor disposed in the substrate, and a color filter disposed over the pixel sensor. The pixel sensor includes a plurality of first micro structures disposed over the back side of the substrate. The color filter includes a plurality of second micro structures disposed over the back side of the substrate. The first micro structures are arranged symmetrically to a first axial, and the second micro structures are arranged symmetrically to a second axial.

A radiation detector having a plurality of pixels is provided. A respective one of the plurality of pixels includes a base substrate; a thin film transistor on the base substrate; an insulating layer on a side of the thin film transistor away from the base substrate; a photosensor on a side of the insulating layer away from the base substrate; a passivation layer on a side of the photosensor away from the base substrate; a scintillation layer on a side of the passivation layer away from the base substrate; and a reflective layer on a side of the scintillation layer away from the base substrate. The photosensor includes a first polarity layer in direct contact with the passivation layer. All sides of the first polarity layer other than a side internal to the photosensor are entirely in direct contact with the passivation layer.

A pixel cell includes a nitrogen-implanted region at a semiconductor material-gate oxide proximate interface located in a region above a photodiode. The pixel cell is further devoid of implanted nitrogen in channel regions of a plurality of pixel transistors. Thus, Si—N bonds are formed at the semiconductor material-gate oxide interface in the region above the photodiode, while the channel regions are protected from nitrogen implantation at the semiconductor material-gate oxide interface. Methods of forming the pixel cell are also described.

An image sensor includes a first photodiode and a second photodiode. The image sensor further includes a first color filter over the first photodiode; and a second color filter over the second photodiode. The image sensor further includes a first microlens over the first color filter and a second microlens over the second color filter. The image sensor further includes a first electro-optical (EO) film between the first color filter and the first microlens, wherein a material of the first EO film is configured to change refractive index in response to application of an electrical field. The image sensor further includes a second EO film between the second color filter and the second microlens, wherein a material of the second EO film is configured to change refractive index in response to application of an electrical field.

Techniques for realizing compound semiconductor (CS) optoelectronic devices on silicon (Si) substrates are disclosed. The integration platform is based on heteroepitaxy of CS materials and device structures on Si by direct heteroepitaxy on planar Si substrates or by selective area heteroepitaxy on dielectric patterned Si substrates. Following deposition of the CS device structures, device fabrication steps can be carried out using Si complimentary metal-oxide semiconductor (CMOS) fabrication techniques to enable large-volume manufacturing. The integration platform can enable manufacturing of optoelectronic module devices including photodetector arrays for image sensors and vertical cavity surface emitting laser arrays. Such module devices can be used in various applications including light detection and ranging (LIDAR) systems for automotive and robotic vehicles as well as mobile devices such as smart phones and tablets, and for other perception applications such as industrial vision, artificial intelligence (AI), augmented reality (AR) and virtual reality (VR).

An image sensing device includes an image sensor suitable for correcting depth information based on a control signal, and for generating image data according to the depth information, and a controller suitable for analyzing an error of the depth information, and for generating the control signal, based on first and second cycle signals provided from the image sensor.

The present technology relates to a solid-state imaging device and electronic equipment to suppress degradation of Dark characteristics. A photoelectric converting unit configured to perform photoelectric conversion, and a PN junction region including a P-type region and an N-type region on a side of a light incident surface of the photoelectric converting unit are included. Further, on a vertical cross-section, the PN junction region is formed at three sides including a side of the light incident surface among four sides enclosing the photoelectric converting unit. Further, a trench which penetrates through a semiconductor substrate in a depth direction and which is formed between the photoelectric converting units each formed at adjacent pixels is included, and the PN junction region is also provided on a side wall of the trench. The present technology can be applied, for example, to a backside irradiation type CMOS image sensor.

An imaging pixel design is provide with a photo-sensor block structure that facilitates dynamic control of well capacity in the photodiode region (i.e., a “well capacity adjustment (WCA) gate photo-sensor block”). The photodiode region includes a doped well in which photocharge is accumulated responsive to exposure to incident illumination. The capacity of the well corresponds to a well potential. WCA structures (e.g., deep trench regions) form walls at least partially surrounding and capacitively coupling with the doped well, such that biasing of the WCA structures changes the well potential and the corresponding well capacity. As such, the WCA structures can be biased during integration to increase the well potential to a high level for large well capacity, and the WCA structures can be differently biased during photocharge transfer to decrease the well potential to a sufficiently low level that avoids lag and/or other conventional concerns.

A pixel includes a photodiode and first and second transistors, the first and second transistors being coupled in series. One of the first and second transistors is a P channel transistor and the other is an N channel transistor. An electronic device may include one or more of the pixels.