Advanced Photonics Nexus, Volume. 4, Issue 3, 036007(2025)
PLayer: a plug-and-play embedded neural system to boost neural organoid 3D reconstruction
Fig. 1. Preprocessing and image acquisition of neural organoids. The sequence follows, in a clockwise direction: neural organoid culturing and preparation, organoid cryosectioning, slide selection, primary and secondary antibody application, confocal microscopy, layer application of
Fig. 2. Schematic of the
Fig. 3. Iterative resolution enhancement of 3D organoid volume using the
Fig. 4. 2D reconstruction of internal organoid layers. Rows (a)–(c) represent layers from
Fig. 5. 3D reconstruction results of neural organoids. (a) The reference 3D volume. (b) LR 3D volume. (c) Interpolated 3D volume. (d) SR-3D volume without SME. (e) SR-3D volume with SME. Panels (a)–(e) show
Fig. 6. Comparative analysis of axial resolution enhancement by factors of 2×, 4×, and 8× utilizing
Fig. 7. Analyzing the effectiveness of an embedded neural network model in statistical metrics and visualization. (a)–(c) Performance metrics comparison. CNN computed with GPU, CNN computed with Pi, ENN (pruning ratio = 0.2) computed with Pi, and R-ENN computed with Pi. The evaluation metrics used SSIM, PSNR, and reconstruction time. (d)–(f) ENN pruning ratio analysis. Pruning ratios range from 0.4 to 0.8. (g)–(j) Visual results of 3D volume reconstruction. White arrows show the difference between results from R-ENN-Pi, NN-Pi/GPU, and ENN-Pi. Stained with anti-type IV neurofilament heavy primary and a secondary antibody conjugated to 488 nm.
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Yuanzheng Ma, Davit Khutsishvili, Zihan Zang, Wei Yue, Zhen Guo, Tao Feng, Zitian Wang, Liwei Lin, Shaohua Ma, Xun Guan, "PLayer: a plug-and-play embedded neural system to boost neural organoid 3D reconstruction," Adv. Photon. Nexus 4, 036007 (2025)
Category: Research Articles
Received: Oct. 17, 2024
Accepted: Mar. 31, 2025
Published Online: Apr. 24, 2025
The Author Email: Ma Shaohua (ma.shaohua@sz.tsinghua.edu.cn), Guan Xun (xun.guan@sz.tsinghua.edu.cn)