# VibeTube: a code for accurate extraction of CNTs’ chirality from TEM images

https://mdr.nims.go.jp/datasets/d0424b3a-b11a-4248-857e-3eeff569d60c

## File

- [VibeTube  a code for accurate extraction of CNTs  chirality from TEM images.pdf](https://mdr.nims.go.jp/filesets/93bb92c6-96bf-4d87-ac6c-d94a1637aeff/download) ([Detail](https://mdr.nims.go.jp/filesets/93bb92c6-96bf-4d87-ac6c-d94a1637aeff.md))

## Id

d0424b3a-b11a-4248-857e-3eeff569d60c

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-07-25T10:44:53.046618Z

## Updated at

2026-07-27T00:50:32.922012Z

## Published at

2026-07-27T03:27:57.193305Z

## Doi

https://doi.org/10.48505/nims.6427

## First published url

https://doi.org/10.1080/14686996.2026.2705816

## Date published

2026-07-20

## Recorded date published



## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: 'VibeTube: a code for accurate extraction of CNTs’ chirality from TEM images'
  title_type: original
  lang: en

## Description

- description: Accurate determination of the chiral indices of carbon nanotubes (CNTs)
    is crucial for their controllable synthesis and practical applications. Transmission
    electron microscopy (TEM) combined with electron diffraction has been one of the
    most reliable methods for characterizing the chiral indices of CNTs. However,
    it is still a challenge to analyze TEM images to extract chirality with high efficiency
    and accuracy, especially for nanotubes with a diameter larger than 2 nanometers.
    In this work, a Python code is developed with assistance from an artificial intelligence
    model (Claude Code) for the auto-extraction of CNTs’ chirality from TEM images.
    Precise and reliable measurement of the diameter was realized by using a new method
    to determine the average distance between the bright and dark fringes. Symmetry
    and geometry-based rules enabled measurements of layer lines in the Fourier transformation
    of TEM images with a sub-pixel resolution. As a result, an accuracy higher than
    90% for CNTs with diameters ranging from 0.5 nm to 3.0 nm was achieved. High robustness
    has been validated by experimentally analyzing the chiralities of CNTs grown by
    a floating catalyst chemical vapor deposition method. The open-source codes and
    tools will be valuable for the research community to quantitatively identify the
    chirality distribution of CNTs with high efficiency.
  description_type: abstract
  lang: und

## Creator

- name: Daiming Tang
  role: author
  orcid: https://orcid.org/0000-0001-7136-7481
- name: Gaurav Raj
  role: author
- name: Emmanuel Picheau
  role: author
  orcid: https://orcid.org/0000-0002-6921-4555
- name: Shaaista Hasan
  role: author
- name: Peng-Xiang Hou
  role: author
- name: Chang Liu
  role: author

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: carbon nanotubes
  schema: not_defined
- subject: chirality
  schema: not_defined
- subject: AI for science
  schema: not_defined
- subject: TEM
  schema: not_defined
- subject: vibe coding
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: Science and Technology of Advanced Materials
  issn: '14686996'
  article_number: '2705816'

## Conference



## Related item



## Funding

- identifier: JP25820336
  funder_name: JSPS Kakenhi
- identifier: JPMJFR223T
  funder_name: JST-FOREST Program
- identifier: Challenging Research Program (CRP)
  funder_name: WPI-MANA
- identifier: Support system for curiosity-driven research program
  funder_name: NIMS
- identifier: JPMXP1225NM5167
  funder_name: Ministry of Education, Culture, Sports, Science and Technology

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 93bb92c6-96bf-4d87-ac6c-d94a1637aeff
  filename: VibeTube  a code for accurate extraction of CNTs  chirality from TEM images.pdf
  content_type: application/pdf
  size: 8259000
  md5: 231849174cde3f8c38d7f1a82788daf4

## Thumbnail

fileset_id: 93bb92c6-96bf-4d87-ac6c-d94a1637aeff
filename: VibeTube  a code for accurate extraction of CNTs  chirality from TEM images.pdf