Polymeric microfluidic continuous flow mixer combined with hyperspectral FT-IR imaging for studying rapid biomolecular events

Lab on a Chip ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 2598-2609 ◽  
Author(s):  
Hyukjin Jang ◽  
Ashtamurthy S. Pawate ◽  
Rohit Bhargava ◽  
Paul J. A. Kenis
Keyword(s):  
Continuous Flow ◽  
Ir Imaging ◽  
Ft Ir ◽  
Polymeric Microfluidic

IR compatible polymeric microfluidic continuous flow mixer with hyperspectral FT-IR imaging to study fast biomolecular events (10−4 s−1).

The role of melatonin on zebrafish follicle development: An FT-IR imaging approach

2012 ◽  
Vol 62 ◽  
pp. 279-285 ◽  
Author(s):  
Elisabetta Giorgini ◽  
Giorgia Gioacchini ◽  
Carla Conti ◽  
Paolo Ferraris ◽  
Simona Sabbatini ◽  
...  
Keyword(s):  
Follicle Development ◽  
Ir Imaging ◽  
Imaging Approach ◽  
Ft Ir

Quantification of plaque area and characterization of plaque biochemical composition with atherosclerosis progression in ApoE/LDLR−/− mice by FT-IR imaging

The Analyst ◽  
2013 ◽  
Vol 138 (21) ◽  
pp. 6645 ◽  
Author(s):  
Tomasz P. Wrobel ◽  
Lukasz Mateuszuk ◽  
Renata B. Kostogrys ◽  
Stefan Chlopicki ◽  
Malgorzata Baranska
Keyword(s):  
Biochemical Composition ◽  
Atherosclerosis Progression ◽  
Plaque Area ◽  
Ir Imaging ◽  
Ft Ir

EXPRESS: On the Limit of Detection in Infrared Spectroscopic Imaging

2021 ◽  
pp. 000370282110509
Author(s):  
Laurin Lux ◽  
Yamuna Dilip Phal ◽  
Pei-Hsuan Hsieh ◽  
Rohit Bhargava
Keyword(s):  
Limit Of Detection ◽  
Protein Microarray ◽  
Spectroscopic Imaging ◽  
Single Frequency ◽  
Systematic Analysis ◽  
Protein Mass ◽  
Ir Imaging ◽  
Wide Range ◽  
Ft Ir ◽  
Processing Techniques

Infrared (IR) spectroscopic imaging instruments’ performance can be characterized and optimized by an analysis of their limit of detection (LoD). Here we report a systematic analysis of the LoD for Fourier transform IR (FT-IR) and discrete frequency IR (DFIR) imaging spectrometers. In addition to traditional measurements of sample and blank data, we propose a decision theory perspective to pose the determination of LoD as a binary classification problem under different assumptions of noise uniformity and correlation. We also examine three spectral analysis approaches, namely absorbance at a single frequency, sum of absorbance over selected frequencies and total spectral distance – to suit instruments that acquire discrete or contiguous spectral bandwidths. The analysis is validated by refining the fabrication of a bovine serum albumin protein microarray to provide eight uniform spots from 2.8 nL of solution for each concentration over a wide range (0.05 -10 mg/mL). Using scanning parameters that are typical for each instrument, we estimate a LoD of 0.16 mg/mL and 0.12 mg/mL for widefield and line scanning FT-IR imaging systems, respectively, usingthespectraldistanceapproach,and0.22mg/mLand0.15mg/mL using an optimal set of discrete frequencies. As expected, averaging and the use of post-processing techniques such as minimum noise fraction (MNF) transformation results in LoDs as low as 0.075 mg/mL that correspond to a spotted protein mass of 112 fg/pixel. We emphasize that these measurements were conducted at typical imaging parameters for each instrument and can be improved using the usual trading rules of IR spectroscopy. This systematic analysis and methodology for determining the LoD can allow for quantitative measures of confidence in imaging an analyte’s concentration and a basis for further improving IR imaging technology.

scholarly journals Author Correction: Comparison of spectral and spatial denoising techniques in the context of High Definition FT-IR imaging hyperspectral data

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Paulina Koziol ◽  
Magda K. Raczkowska ◽  
Justyna Skibinska ◽  
Sławka Urbaniak-Wasik ◽  
Czesława Paluszkiewicz ◽  
...  
Keyword(s):  
Hyperspectral Data ◽  
High Definition ◽  
Ir Imaging ◽  
Ft Ir

Influence of interference effects on the spectral quality and histological classification by FT-IR imaging in transflection geometry

The Analyst ◽  
2021 ◽  
Author(s):  
Danuta Liberda ◽  
Paulina Koziol ◽  
Magda K. Raczkowska ◽  
Wojciech M. Kwiatek ◽  
Tomasz P. Wrobel
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Histological Classification ◽  
Spectral Quality ◽  
Interference Effects ◽  
Ir Imaging ◽  
Ft Ir ◽  
Non Destructive

Infrared (IR) imaging can be used for fast, accurate and non-destructive pathology recognition of biopsies when supported by machine learning algorithms regardless of the presence of interference effects obscuring the spectra.

Time-Resolved Fourier Transform Infrared Spectroscopic Imaging

2003 ◽  
Vol 57 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Rohit Bhargava ◽  
Ira W. Levin
Keyword(s):  
Fourier Transform ◽  
Imaging Modality ◽  
Spectroscopic Imaging ◽  
Fourier Transform Infrared ◽  
Dynamic Processes ◽  
Time Resolved ◽  
Ir Imaging ◽  
Infrared Spectroscopic ◽  
Infrared Spectroscopic Imaging ◽  
Ft Ir

Fourier transform infrared (FT-IR) imaging allows simultaneous spectral characterization of large spatial areas due to its multichannel detection advantage. The acquisition of large amounts of data in the multichannel configuration results, however, in a poor temporal resolution of sequentially acquired data sets, which limits the examination of dynamic processes to processes that have characteristic time scales of the order of minutes. Here, we introduce the concept and instrumental details of a time-resolved infrared spectroscopic imaging modality that permits the examination of repetitive dynamic processes whose half-lives are of the order of milliseconds. As an illustration of this implementation of step-scan FT-IR imaging, we examine the molecular responses to external electric-field perturbations of a microscopically heterogeneous polymer–liquid crystal composite. Analysis of the spectroscopic data using conventional univariate and generalized two-dimensional (2D) correlation methods emphasizes an additional capability for accessing of simultaneous spatial and temporal chemical measurements of molecular dynamic processes.

Processing FT-IR Imaging Data for Morphology Visualization

2000 ◽  
Vol 54 (11) ◽  
pp. 1690-1706 ◽  
Author(s):  
Rohit Bhargava ◽  
Shi-Qing Wang ◽  
Jack L. Koenig
Keyword(s):  
Imaging Data ◽  
Ir Imaging ◽  
Ft Ir

Histological and microscopy FT-IR imaging study on the proliferative activity and angiogenesis in head and neck tumours

2004 ◽  
Vol 126 ◽  
pp. 19 ◽  
Author(s):  
P. Bruni ◽  
C. Conti ◽  
E. Giorgini ◽  
M. Pisani ◽  
C. Rubini ◽  
...  
Keyword(s):  
Head And Neck ◽  
Proliferative Activity ◽  
Imaging Study ◽  
Head And Neck Tumours ◽  
Ir Imaging ◽  
Ft Ir

FT-IR imaging and pyrolysis-molecular beam mass spectrometry: new tools to investigate wood tissues

2005 ◽  
Vol 39 (1) ◽  
pp. 61-76 ◽  
Author(s):  
Nicole Labb� ◽  
Timothy G. Rials ◽  
Stephen S. Kelley ◽  
Zong-Ming Cheng ◽  
Joo-Young Kim ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Molecular Beam ◽  
Molecular Beam Mass Spectrometry ◽  
Ir Imaging ◽  
Ft Ir
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