Best of the Best

Zhang, Richard; Moeller, Torsten B.

doi:10.1109/mcg.2020.3029599

IEEE Comput. Grap. Appl.

2020

DOI: 10.1109/mcg.2020.3029599

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Best of the Best

Richard Zhang

Torsten B. Moeller

Abstract: We announce the first best paper awards for papers published in 2019 as well as best AE awards, outline what is in store for 2021, and thank departing and incoming staff.

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Non-uniform image reconstruction for fast photoacoustic microscopy of histology imaging

Zhou¹,

yu²,

Xiang³

et al. 2023

Biomed. Opt. Express

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Photoacoustic microscopic imaging utilizes the characteristic optical absorption properties of pigmented materials in tissues to enable label-free observation of fine morphological and structural features. Since DNA/RNA can strongly absorb ultraviolet light, ultraviolet photoacoustic microscopy can highlight the cell nucleus without complicated sample preparations such as staining, which is comparable to the standard pathological images. Further improvements in the imaging acquisition speed are critical to advancing the clinical translation of photoacoustic histology imaging technology. However, improving the imaging speed with additional hardware is hampered by considerable costs and complex design. In this work, considering heavy redundancy in the biological photoacoustic images that overconsume the computing power, we propose an image reconstruction framework called non-uniform image reconstruction (NFSR), which exploits an object detection network to reconstruct low-sampled photoacoustic histology images into high-resolution images. The sampling speed of photoacoustic histology imaging is significantly improved, saving 90% of the time cost. Furthermore, NFSR focuses on the reconstruction of the region of interest while maintaining high PSNR and SSIM evaluation indicators of more than 99% but reducing the overall computation by 60%.

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Non-uniform image reconstruction for fast photoacoustic microscopy of histology imaging

Zhou¹,

yu²,

Xiang³

et al. 2023

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

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Best of the Best

Abstract: We announce the first best paper awards for papers published in 2019 as well as best AE awards, outline what is in store for 2021, and thank departing and incoming staff.

Cited by 1 publication

References 0 publications

Non-uniform image reconstruction for fast photoacoustic microscopy of histology imaging

Non-uniform image reconstruction for fast photoacoustic microscopy of histology imaging

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