Evidence map›Paper›PMID 41479053›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Digital Holographic Microscopy for Phenotypic Profiling of Adherent Cells.

Van K Lam, Brad Bazow, Thuc Phan, George Nehmetallah, Christopher B Raub

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

5 authors.

Van K LamSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
Brad BazowThe Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Thuc PhanDepartment of Electrical and Computer Engineering and Computer Science, The Catholic University of America, Washington, DC, USA.
George NehmetallahDepartment of Electrical and Computer Engineering and Computer Science, The Catholic University of America, Washington, DC, USA.
Christopher B RaubDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC, USA. raubc@cua.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital holographic microscopy and other quantitative phase imaging methods provide accurate reconstructions of the microscale features of cells, related to cell shape, height, and index of refraction, useful for phenotypic profiling. The following section details a typical cell imaging experiment by digital holographic microscopy, image analysis, and machine learning steps directed toward phenotypic profiling of cells from one or more populations. The analysis results in single and multi-class classification and identification of typical and atypical cells.

Indexed as

HolographyMicroscopyCell AdhesionHumansImage Processing, Computer-AssistedMachine LearningPhenotypeQuantitative Phase ImagingCytometryDigital holographic microscopyOptical phasePhenotypic profilingSupport vector machinesTexture analysis

Identifiers

PMID41479053

What Socratic 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 Socratic graph.