Artificial-intelligence assisted, label-free imaging of sub-cellular biology

A. Burguete-Lopez; Maksim Makarenko; Fedor Getman; Andrea Fratalocchi

doi:10.1364/BODA.2021.JTu4A.19

Artificial-intelligence assisted, label-free imaging of sub-cellular biology

A. Burguete-Lopez, Maksim Makarenko, Fedor Getman, Andrea Fratalocchi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We discuss a technique enabling the recovery of refractive index and thickness maps of cells using bright-field microscopy and a suitably designed ultra-dark membrane. We show spatial resolutions as low as 50 nm, enabling organelle differentiation.

Original language	English (US)
Title of host publication	Biophotonics Congress 2021
Publisher	The Optical Society
ISBN (Print)	9781557528209
DOIs	https://doi.org/10.1364/BODA.2021.JTu4A.19
State	Published - Apr 12 2021

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10.1364/BODA.2021.JTu4A.19

https://repository.kaust.edu.sa/bitstream/10754/675502/1/OSA_biophotonics_2021.pdf

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@inproceedings{f7b90673e20245c088cee81bd179c645,

title = "Artificial-intelligence assisted, label-free imaging of sub-cellular biology",

abstract = "We discuss a technique enabling the recovery of refractive index and thickness maps of cells using bright-field microscopy and a suitably designed ultra-dark membrane. We show spatial resolutions as low as 50 nm, enabling organelle differentiation.",

author = "A. Burguete-Lopez and Maksim Makarenko and Fedor Getman and Andrea Fratalocchi",

note = "KAUST Repository Item: Exported on 2022-02-11",

year = "2021",

month = apr,

day = "12",

doi = "10.1364/BODA.2021.JTu4A.19",

language = "English (US)",

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T1 - Artificial-intelligence assisted, label-free imaging of sub-cellular biology

AU - Burguete-Lopez, A.

AU - Makarenko, Maksim

AU - Getman, Fedor

AU - Fratalocchi, Andrea

N1 - KAUST Repository Item: Exported on 2022-02-11

PY - 2021/4/12

Y1 - 2021/4/12

N2 - We discuss a technique enabling the recovery of refractive index and thickness maps of cells using bright-field microscopy and a suitably designed ultra-dark membrane. We show spatial resolutions as low as 50 nm, enabling organelle differentiation.

AB - We discuss a technique enabling the recovery of refractive index and thickness maps of cells using bright-field microscopy and a suitably designed ultra-dark membrane. We show spatial resolutions as low as 50 nm, enabling organelle differentiation.

UR - http://hdl.handle.net/10754/675502

UR - https://opg.optica.org/abstract.cfm?URI=BODA-2021-JTu4A.19

UR - http://www.scopus.com/inward/record.url?scp=85119351513&partnerID=8YFLogxK

U2 - 10.1364/BODA.2021.JTu4A.19

DO - 10.1364/BODA.2021.JTu4A.19

M3 - Conference contribution

SN - 9781557528209

BT - Biophotonics Congress 2021

PB - The Optical Society

ER -

Artificial-intelligence assisted, label-free imaging of sub-cellular biology

Abstract

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