Evidence map›Paper›PMID 42176083›Full record

ArticleApplied microscopy2026

FPGA-based reconfigurable scanning and data acquisition system for scanning electron microscopy.

Kyubin Gong, Junseok Kim, Bog G Kim, Boklae Cho

Abstract read
In one paragraph

Article in Applied microscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. FPGA-based scanner and SerialEM server for 4D-STEM electron tomography.Acta crystallographica. Section D, Structural biology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kyubin GongDepartment of Nano Semiconductor Process and Equipment, Pusan National University, Busan, 46241, South Korea.
Junseok KimDepartment of Physics, Pusan National University, Busan, 46241, South Korea.
Bog G KimDepartment of Nano Semiconductor Process and Equipment, Pusan National University, Busan, 46241, South Korea. boggikim@gmail.com.ORCID http://orcid.org/0000-0001-7870-3492
Boklae ChoModuleSci Co., Ltd., Daejeon, 34054, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an FPGA-based reconfigurable scanning and data acquisition system for scanning electron microscopy (SEM). Built on the Xilinx Artix-7 (XC7A35T), the system integrates dual-channel 14-bit DAC raster scan waveform generation, dual-channel 12-bit ADC signal acquisition with on-chip averaging, and real-time USB 2.0 High-Speed data streaming at up to 40 MB/s. Integration with a commercial SEM (ModuleSci PicoEye-100) produced clearly resolved secondary-electron images, demonstrating stable raster operation in the fast-scan mode used for alignment and focusing. Standard data acquisition was performed at a per-frame acquisition time of 10 s, and a quantitative image-quality benchmark against the instrument's built-in acquisition channel under this condition, using a grid-hole masking protocol and sub-pixel cross-correlation drift correction (Guizar-Sicairos et al. 2008), demonstrates substantial SNR improvements. The FPGA-based system achieves 41-47% higher spatial SNR and near-theoretical temporal SNR scaling, reaching a [Formula: see text] improvement over the commercial reference. These results highlight the effectiveness of hardware-level synchronization for improving the practical recoverability of high-frequency spatial detail under reduced acquisition time. The modular architecture is applicable to a broad range of point-scanning instruments beyond electron microscopy.

Indexed as

Data acquisitionFPGAModulation transfer functionRaster scanReal-time synchronizationScanning electron microscopySignal-to-noise ratioSub-pixel drift correction

Identifiers

PMID42176083
PMCPMC13198577

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.