ArticlebioRxiv : the preprint server for biology2025
Ballistic Microscopy (BaM).
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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
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0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Light and electron microscopy utilizes interactions of either photons or electrons with matter to create images from cellular to atomic scale. However, these methods are limited in de novo discovery and spatial mapping of unknown biomolecules. Label free methods such as mass spectrometry or sequencing lack live-cell and subcellular context. Here we introduce a new approach, Ballistic Microscopy (BaM), to image cells with physical nanoparticles. We bombard living cells with millions of nanoparticles traveling at ~1000 m/s. Each particle passes through cells, piercing and capturing attoliters of cytoplasm on a hydrogel substrate while preserving spatial information (SPLAT-MAP). This "physical image" of a live cell captures a molecular fingerprint of a cell on a hydrogel film that can be processed post-capture via multiple techniques such as TEM, Cryo-EM, mass spectrometry, confocal imaging, and DNA amplification. Using BaM, we discover previously unknown composition of CLIP170 and Tau3R condensates in HEK cells, uncovering Keratin-18 as a structural element. BaM establishes a new paradigm of "physical imaging" with modular readout platform for spatially resolved live sampling across cells, tissues, and organisms.
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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.