Evidence map›Paper›PMID 42801563›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Closing the Loop: High-Precision 3D Photofabrication in Living Tissues.

Amirbahador Zeynali, Mangirdas Malinauskas, Giuseppe Chirico

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Amirbahador ZeynaliInstitute of Biomaterials and Biomolecular Systems, University of Stuttgart, Stuttgart, Germany.ORCID https://orcid.org/0000-0001-9210-2909
Mangirdas MalinauskasLaser Research Center, Faculty of Physics, Vilnius University, Vilnius, Lithuania.ORCID https://orcid.org/0000-0002-6937-4284
Giuseppe ChiricoDepartment of Physics "G. Occhialini", University of Milano-Bicocca, Milan, Italy.ORCID https://orcid.org/0000-0001-6578-6460

Funding

Marie Skłodowska-Curie 101110870Research Council of Lithuania S-A-UEI-23-6
6 · The paper itself

Abstract

Multiphoton absorption enables three-dimensional fabrication of photoresists ranging from ceramics to hydrogels and has recently been extended to the writing of microstructures within the dermis, muscle, and brain of living animals. However, an intrinsic difficulty prevents its widespread application in vivo. Absorption, cure kinetics, heat accumulation, and matrix stiffness each vary steeply across neighboring micro-environments and across intervals spanning a single pulse to several minutes. Therefore, any pre-selected exposure drifts out of the safe and effective window as fabrication proceeds. Rigorous feedback control should ideally act simultaneously at three scales: between pulses to bound heating (microseconds), within each voxel to confirm cure and stiffness (milliseconds), and across the finished volume to verify geometry (seconds). Phase-resolved optical coherence tomography and luminescent thermometry already satisfy these demands, with photoacoustic, Brillouin, and diamond-defect techniques reaching further into depth, contrast, and sensitivity. We analyze critically how this technology supports predictive controllers at the three scales that learn tissue behavior on the fly, turning these readings into adaptive feedforward with supervisory feedback. We synthesize this toolkit into a single perspective toward adaptive intravital light interventions.

Indexed as

biophotonic sensorsclosed‐loop controlintravital photofabricationtwo‐photon polymerization

Identifiers

PMID42801563
PMCPMC13616337

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.