ArticleDian hua xue2024
Precision Delivery Using Nanopipette for Single-cell Studies.
Article in Dian hua xue, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Spatial Visualization of Secreted Lysyl Oxidase Activity from Single Living Cells via Label-Free Electrochemiluminescence Microscopy.Chemical & biomedical imaging · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Nanopipette based scanning probe technique is a versatile tool in non-contact imaging in biology. In addition to the topographic imaging, its capability of localized delivery of bio-active molecules is emerging. In this mini review, we introduce the applications of nanopipette in single-cell researches with a focus on localized delivery. The working principles of three delivery modes including resistive pulse, pressure-driven flow, and electroosmotic flow-driven delivery are summarized and compared. Their applications in single-cell researches are reviewed. The current technical challenges in scanning ion conductance microscopy-based delivery, and their growing influence in medicine and pharmacologic researches are also discussed.
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Registered trials
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.