Development of a wide-field-of-view microscope objective system with high resolution and long working distance

Peng, Wei-Jei; Chen, Chih-Wen; Lin, Yung-Hsiang; Chen, Ming-Fu

doi:10.1109/ist55454.2022.9827671

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…Bright-field microscopic imaging has been frequently used in biomedical research, generating huge amounts of image data 30 . However, bright-field images typically exhibit low contrast or contain less gradient information, making it more vulnerable to the loss of such gradient structural information during large data compression.…”

Section: Resultsmentioning

confidence: 99%

“…High structural fidelity compression for 2D and 3D biomedical images. Bright-field microscopic imaging has been frequently used in biomedical research, generating huge amounts of image data 30 .…”

Section: Sincs Achieves High-fidelity and High-ratio Compression Of M...mentioning

confidence: 99%

“…Bright-field imaging under wide-field microscopy benefits from a large field of view, providing abundant biological data 33 . However, bright-field images typically exhibit low contrast or contain less gradient information, making it more susceptible to losing such gradient structural information during large data compression.…”

Section: Swift Achieves High-fidelity and High-level Compression Of M...mentioning

confidence: 99%

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Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data

Ma,

Yi,

Zhou

et al. 2023

Preprint

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With the rapid development in advanced bioimaging techniques, numerous image data has been generated for various high-throughput applications, which pose big challenges to efficient storage, transmission and sharing of these data. Traditional compression techniques and current deep learning-based compression methods lack the elimination of semantic redundancy on multidimensional biomedical data containing high dynamic range and complex structural features. Here, we propose compression with implicit function correlation (SWIFT) approach based on the first-proved high correlation of biomedical data in the implicit function domain. Through reducing the extra-compression of data correlation, SWIFT approach shows compression ratios and processing speed higher than existing implicit neural representation-based approaches. With further combination of residual entropy coding and attention mechanism, SWIFT achieves compression of various biological data with high time continuity and structure fidelity, for example, yielding 1500-fold, effective compression of live-cell 3D super-resolution data to enables downstream tasks and quantitative analyses at notably improved efficiency.

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Section: Resultsmentioning

confidence: 99%

Section: Sincs Achieves High-fidelity and High-ratio Compression Of M...mentioning

confidence: 99%

Section: Swift Achieves High-fidelity and High-level Compression Of M...mentioning

confidence: 99%

See 1 more Smart Citation

Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data

Ma,

Yi,

Zhou

et al. 2023

Preprint

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“…Based on the apochromatic theorem, the deviation of the partial dispersion between two materials is smaller, the secondary chromatic aberration is decreased. 19,20 The material of Ohara S-FPL55 with ultra-low dispersion is used in L1, L5 and L6. 21 The correction of the longitudinal chromatic shift is 6.3 μm, and the wavelengths of 403, 553 and 600 nm are on the same image plane, as shown in Fig.…”

Section: Lens Design For Spectrographmentioning

confidence: 99%

Optical design of refractive imaging spectrometer for semiconductor metrology

Peng¹,

Chen²,

Lee³

2023

Optical Measurement Systems for Industrial Inspection XIII

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Critical dimension (CD) uniformity has recently become increasing essential with miniaturization in semiconductor production. For high-volume manufacturing, high-speed in-wafer uniformity inspection is inevitable. The conventional optical critical dimension (OCD) spectroscopy has low resolution issue because of the large spot size. Consequently, line-scan hyperspectral imaging (LSHI) is presented by Samsung Electronics in 2022. Compared with the OCD, the LSHI has advantages of high throughput, high spatial and spectral resolution, and large field of view. The LSHI can improve the throughput of OCD significantly and provide high-resolution spatial and spectral information. In this study, the optical design of the refractive imaging spectrometer based on the ruled reflection grating is presented. Most imaging spectrometers, such as Czerny-Turner or Ebert-Fastie setup, are off-axis reflective configuration. However, the performance is limited by serious astigmatism and smaller numerical aperture. The astigmatism leads to low spatial and spectral resolution, and the smaller numerical aperture requires more exposure time, which results in low throughput. Therefore, the refractive type using lens combinations for imaging spectrometers can eliminate aberrations effectively and increase numerical aperture significantly. In this study, the numerical aperture is designed as f/2.4, and the slit length is 14 mm for high throughput. The high spatial and spectral resolution is accomplished by optimizing lens combinations from 400 nm to 800 nm spectral region.

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Optimizing Lens Diversity: Exploring the Benefits of Manual Lens Adapters in Cinematography

Pattanayak,

Khan,

Malik

et al. 2024

Preprint

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Development of a wide-field-of-view microscope objective system with high resolution and long working distance

Cited by 3 publications

References 7 publications

Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data

Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data

Optical design of refractive imaging spectrometer for semiconductor metrology

Optimizing Lens Diversity: Exploring the Benefits of Manual Lens Adapters in Cinematography

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