Mads Sylvest Bergholt

Mads Sylvest Bergholt

King's College

H-index: 30

North America-United States

About Mads Sylvest Bergholt

Mads Sylvest Bergholt, With an exceptional h-index of 30 and a recent h-index of 24 (since 2020), a distinguished researcher at King's College, specializes in the field of Biophotonics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Low-cost, versatile, and highly reproducible microfabrication pipeline to generate 3D-printed customised cell culture devices with complex designs

Multiplexed fibre-optic real-time monitoring of fluorophores in perfused hearts

Correlated vibrational spectroscopies and mass spectrometry imaging of tissues

A comparative study of analytical tissue reflectance models using simulated and experimental data

Lithiated porous silicon nanowires stimulate periodontal regeneration

Nondestructive Spatial Lipidomics for Glioma Classification

Raman arthroscopy towards in-vivo monitoring of engineered cartilage growth

Raman spectrosopy for monitoring of engineered cartilage growth

Mads Sylvest Bergholt Information

University

Position

King's Prize Fellow ()

Citations(all)

3007

Citations(since 2020)

1751

Cited By

1914

hIndex(all)

30

hIndex(since 2020)

24

i10Index(all)

39

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Mads Sylvest Bergholt Skills & Research Interests

Biophotonics

Top articles of Mads Sylvest Bergholt

Low-cost, versatile, and highly reproducible microfabrication pipeline to generate 3D-printed customised cell culture devices with complex designs

PLoS Biology

2024/3/13

Multiplexed fibre-optic real-time monitoring of fluorophores in perfused hearts

2024/3/13

Correlated vibrational spectroscopies and mass spectrometry imaging of tissues

2024/3/13

A comparative study of analytical tissue reflectance models using simulated and experimental data

2024/3/12

Raman arthroscopy towards in-vivo monitoring of engineered cartilage growth

2023/3/6

Raman spectrosopy for monitoring of engineered cartilage growth

2023/3/6

Towards in-vivo monitoring of disease progression of inflammatory arthritis in rodent models using fibre-optic Raman spectroscopy

2023/3/6

In Vivo Longitudinal Monitoring of Disease Progression in Inflammatory Arthritis Animal Models Using Raman Spectroscopy

Analytical chemistry

2023/2/9

A comparative study of analytical models of diffuse reflectance in homogeneous biological tissues: Gelatin‐based phantoms and Monte Carlo experiments

Journal of biophotonics

2023/12/10

Raman Spectroscopy Method and System

2023/10/26

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

2023/10/1

Label-free 3-D molecular imaging of living tissues using Raman Spectral Projection Tomography

bioRxiv

2023/9/24

Lightfield hyperspectral imaging in neuro-oncology surgery: an IDEAL 0 and 1 study

Frontiers in Neuroscience

2023/9/18

Unsupervised denoising of Raman spectra with cycle-consistent generative adversarial networks

arXiv preprint arXiv:2307.00513

2023/7/2

Synthetic white balancing for intra-operative hyperspectral imaging

Journal of Medical Imaging

2023/7/1

Raman projection tomography for label-free 3D molecular imaging of live tissue engineered constructs (Conference Presentation)

2023/3/15

Methods utilizing fiber-optic raman spectroscopy

2022/8/17

See List of Professors in Mads Sylvest Bergholt University(King's College)

Co-Authors

academic-engine