43 citations · 59 across the 6 of their papers we have counts for
6 papers
Detecting immune cells with label-free two-photon autofluorescence and deep learning
Lucas Kreiss, Amey Chaware, Maryam Roohian +7
Label-free imaging has gained broad interest because of its potential to omit elaborate staining procedures which is especially relevant for in vivo use. Label-free multiphoton mic…
Recording dynamic facial micro-expressions with a multi-focus camera array
Lucas Kreiss, Weiheng Tang, Ramana Balla +9
We present an approach of utilizing a multi-camera array system for capturing dynamic high-resolution videos of the human face, with improved imaging performance as compared to tra…
Remote Analysis of Femoroacetabular Impingement by a triade of label-free optical spectroscopy techniques
Martin Hohmann, Lucas Kreiss, Faramarz Dehghani +5
This paper introduces the combination of Laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy (RS) and diffuse reflectance spectroscopy (DRS) in the field of biomedical…
Beneath the Surface: Revealing Deep-Tissue Blood Flow in Human Subjects with Massively Parallelized Diffuse Correlation Spectroscopy
Lucas Kreiss, Melissa Wu, Michael Wayne +17
Diffuse Correlation Spectroscopy (DCS) allows the label-free investigation of microvascular dynamics deep within living tissue. However, common implementations of DCS are currently…
Digital staining in optical microscopy using deep learning -- a review
Lucas Kreiss, Shaowei Jiang, Xiang Li +13
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental…
SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology
Alexander Mühlberg, Paul Ritter, Simon Langer +11
Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as a black box, exclude biomedical experts, and need extensive data. We introduce t…