Physics World 07月29日 16:10
Stacked perovskite photodetector outperforms conventional silicon image sensors
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瑞士研究人员开发出一种新型光电探测器,采用垂直堆叠的钙钛矿材料,能够直接生成彩色图像,无需滤光片。与传统的硅基传感器相比,该探测器在颜色保真度、灵敏度和空间分辨率方面均有显著提升。其核心优势在于利用不同钙钛矿材料对特定波长光的选择性吸收,克服了传统传感器因滤光片造成的“去马赛克”伪影和光损失问题。虽然商业化面临挑战,但该技术在机器视觉和高光谱成像等领域展现出巨大潜力,有望推动医疗分析、农业环境监测等应用的发展。

💡 新型钙钛矿光电探测器采用垂直堆叠结构,直接利用钙钛矿材料对不同波长光的选择性吸收特性,实现彩色成像,无需传统滤光片。这意味着每个像素能接收更广的光谱范围,显著提高光利用效率,并避免了传统滤光片带来的“去马赛克”伪影。

🌟 与硅基传感器相比,该钙钛矿探测器在理论上可捕获三倍的光线,并提供三倍的空间分辨率。这得益于其材料成分可精确调控吸收或透射不同颜色的能力,从而实现更高的成像灵敏度和更精细的细节表现。

🔬 这种新型传感器在颜色重现方面比传统硅基技术更精确,并为红、绿、蓝通道分别实现了50%、47%和53%的高外部量子效率。这表明其在色彩还原的准确性和光电转换效率上均有显著优势。

🚀 尽管在消费级相机领域面临市场竞争,但该技术在机器视觉和高光谱成像领域更具潜力。通过精确控制吸收波长范围,可以分离和增强特定波长,在医疗分析、农业环境监测等需要高色彩保真度的专业成像系统中发挥重要作用。

🛠️ 研究团队正致力于将该多层探测器概念与标准CMOS技术兼容,通过垂直互连和小型化探测器像素等方式,为大规模部署和实际应用铺平道路。

A new photodetector made up of vertically stacked perovskite-based light absorbers can produce real photographic images, potentially challenging the dominance of silicon-based technologies in this sector.  The detector is the first to exploit the concept of active optical filtering, and its developers at ETH Zurich and Empa in Switzerland say it could be used to produce highly sensitive, artefact-free images with much improved colour fidelity compared to conventional sensors.

The human eye uses individual cone cells in the retina to distinguish between red, green and blue (RGB) colours. Imaging devices such as those found in smartphones and digital cameras are designed to mimic this capability. However, because their silicon-based sensors absorb light over the entire visible spectrum, they must split the light into its RGB components. Usually, they do this using colour-filter arrays (CFAs) positioned on top of a monochrome light sensor. Then, once the device has collected the raw data, complex algorithms are used to reconstruct a colour image.

Although this approach is generally effective, it is far from ideal. One drawback is the presence of “de-mosaicing” artefacts from the reconstruction process. Another is large optical losses, as pixels for red light contain filters that block green and blue light, while those for green block red and blue, and so on. This means that each pixel in the image sensor only receives about a third of the incident light spectrum, greatly reducing the efficacy of light capture.

No need for filters

A team led by ETH Zurich materials scientist Maksym Kovalenko has now developed an alternative image sensor based on lead halide perovskites. These crystalline semiconductor materials have the chemical formula APbX3, where A is a formamidinium, methylammonium or caesium cation and X is a halide such as chlorine, bromine or iodine.

Crucially, the composition of these materials determines which wavelengths of light they will absorb. For example, when they contain more iodide ions, they absorb red light, while materials containing more bromide or chloride ions absorb green or blue light, respectively. Stacks of these materials can thus be used to absorb these wavelengths selectively without the need for filters, since each material layer remains transparent to the other colours.

The idea of vertically stacked detectors that filter each other optically has been discussed since at least 2017, including in early work from the ETH-Empa group, says team member Sergey Tsarev. “The benefits of doing this were clear, but the technical complexity discouraged many researchers,” Tsarev says.

To build their sensor, the ETH-Empa researchers had to fabricate around 30 functional thin-film layers on top of each other, without damaging prior layers. “It’s a long and often unrewarding process, especially in today’s fast-paced research environment where quicker results are often prioritized,” Tsarev explains. “This project took us nearly three years to complete, but we chose to pursue it because we believe challenging problems with long-term potential deserve our attention. They can push boundaries and bring meaningful innovation to society.”

The team’s measurements show that the new, stacked sensors reproduce RGB colours more precisely than conventional silicon technologies. The sensors also boast high external quantum efficiencies (defined as the number of photons produced per electron used) of 50%, 47% and 53% for the red, green and blue channels respectively.

Machine vision and hyperspectral imaging

Kovalenko says that in purely technical terms, the most obvious application for this sensor would be in consumer-grade colour cameras. However, he says that this path to commercialization would be very difficult due to competition from highly optimized and cost-effective conventional technologies already on the market. “A more likely and exciting direction,” he tells Physics World, “is in machine vision and in so-called hyperspectral imaging – that is, imaging at wavelengths other than red, green and blue.”

Perovskite sensors are particularly interesting in this context, explains team member Sergi Yakunin, because the wavelength range they absorb over can be precisely controlled by defining a larger number of colour channels that are clearly separated from other. In contrast, silicon’s broad absorption spectrum means that silicon-based hyperspectral imaging devices require numerous filters and complex computer algorithms.

“This is very impractical even with a relatively small number of colours,” Kovalenko says. “Hyperspectral image sensors based on perovskite could be used in medical analysis or in automated monitoring of agriculture and the environment, for example, or in other specialized imaging systems that can isolate and enhance particular wavelengths with high colour fidelity.”

The researchers now aim to devise a strategy for making their sensor compatible with standard CMOS technology. “This might include vertical interconnects and miniaturized detector pixels,” says Tsarev, “and would enable seamless transfer of our multilayer detector concept onto commercial silicon readout chips, bringing the technology closer to real-world applications and large-scale deployment.”

The study is detailed in Nature.

The post Stacked perovskite photodetector outperforms conventional silicon image sensors appeared first on Physics World.

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钙钛矿 光电探测器 图像传感器 机器视觉 高光谱成像
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