Evidence map›Paper›PMID 40980465›Full record

ArticleSynthetic and systems biotechnology2025

DNA-CTMF: Reconstruct high quality image from lossy DNA storage via Pixel-Base codebook and median filter.

Qi Xu, Ying Zhou, Qingjiang Sun, Xiangwei Zhao, Zuhong Lu, Kun Bi

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. INNSE: Invertible neural network-based DNA image storage with self-correction encoding.Computational and structural biotechnology journal · 2025
    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

6 authors.

Qi XuState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Ying ZhouState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Qingjiang SunState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Xiangwei ZhaoState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Zuhong LuState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Kun BiState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited by uncertain base errors in DNA storage, additional correction measures may introduce redundancy or even expand errors, resulting in poor reconstructed image. DNA-CTMF is proposed to reconstruct high quality images at high errors and indels. Firstly, Pixel-Base codebook and chaotic system ensure DNA sequences meet biological constraints. Then, codebook adjusts offset base-groups affected by indels to their original position. Finally, median filter removes salt-and-pepper noise caused by base errors. Simulated experiments show reconstructed images by DNA-CTMF exhibit high quality with minimal variation at different error compositions. Even at 5 % error rate and indels accounting for 2/3, DNA-CTMF reconstruct high quality images with PSNR approximately 23 and MS-SSIM exceeding 0.9. Tests on 4000 images demonstrate DNA-CTMF's superiority on multiple images. Wet experiments proves that DNA-CTMF can reconstruct images close to original at low error rate, which is consistent with the results of simulated experiments. Different from researches which adopted error correction codes, DNA-CTMF addresses base errors by image processing technology, providing a new interdisciplinary solution and perspective for storing images into DNA.

Indexed as

CodebookDNA storageImage qualityMedian filterSynthetic biology

Identifiers

PMID40980465
PMCPMC12447444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.