Evidence map›Paper›PMID 38894226›Full record

ArticleSensors (Basel, Switzerland)2024

Label-Free Three-Dimensional Morphological Characterization of Cell Death Using Holographic Tomography.

Chung-Hsuan Huang, Yun-Ju Lai, Li-Nian Chen, Yu-Hsuan Hung, Han-Yen Tu, Chau-Jern Cheng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. The CHI3L1 protein plays role as a protecting factor against autophagy in glioblastoma cells.Apoptosis : an international journal on programmed cell death · 2026
    Article
  4. Optimizing Antioxidant and Biological Activities ofAntioxidants (Basel, Switzerland) · 2025
    Article
  5. 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.

Chung-Hsuan HuangInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 11677, Taiwan.ORCID 0000-0001-7502-5761
Yun-Ju LaiDepartment of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.ORCID 0000-0001-7337-3017
Li-Nian ChenDepartment of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.
Yu-Hsuan HungDepartment of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.
Han-Yen TuDepartment of Electrical Engineering, Chinese Culture University, Taipei 11114, Taiwan.
Chau-Jern ChengInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 11677, Taiwan.

Funding

National Science and Technology Council, Taiwan 111-2221-E-003-002-MY3National Science and Technology Council, Taiwan 112-2635-B-003-001
6 · The paper itself

Abstract

This study presents a novel label-free approach for characterizing cell death states, eliminating the need for complex molecular labeling that may yield artificial or ambiguous results due to technical limitations in microscope resolution. The proposed holographic tomography technique offers a label-free avenue for capturing precise three-dimensional (3D) refractive index morphologies of cells and directly analyzing cellular parameters like area, height, volume, and nucleus/cytoplasm ratio within the 3D cellular model. We showcase holographic tomography results illustrating various cell death types and elucidate distinctive refractive index correlations with specific cell morphologies complemented by biochemical assays to verify cell death states. These findings hold promise for advancing

Indexed as

Cell DeathHolographyImaging, Three-DimensionalTomographyHumansRefractometrycell deathholographic tomographythree-dimensional morphology

Identifiers

PMID38894226
PMCPMC11174527

What OpenQuestion holds

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Registered trials

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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.