ArticleACS omega2025
Ultrasound Imaging and Machine Learning for Nondestructive Sensing in Bioreactors.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advancement of cell therapy and cellular agriculture underscores the need for noninvasive, cost-effective methods for continuous monitoring of large-scale cell production. Bioreactors, designed to mimic physiological conditions to facilitate cell growth, require reliable quality control measures. This study investigates the potential of ultrasound technology to characterize cellular growth and decellularization in spinach scaffolds. Ultrasound images were acquired of fresh spinach leaves, decellularized leaves, and leaves with cells seeded in defined cloning well regions on decellularized leaves. Machine learning tools were employed to assist in the identification and segmentation of images as part of ultrasound data analysis. Statistical analysis revealed significant differences in mean pixel intensity values between fresh and decellularized leaves (
Identifiers
What Socratic holds
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 Socratic graph.