2021
DOI: 10.1021/acs.jchemed.1c00810
|View full text |Cite
|
Sign up to set email alerts
|

Computer Vision in Chemistry: Automatic Titration

Abstract: A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure of titration has been chosen, since it is well-known to students who completed general chemistry or similar foundation chemistry courses. A significant advantage of CV-based automation is the use of open-source softw… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(11 citation statements)
references
References 19 publications
0
11
0
Order By: Relevance
“…A discussion of the opportunities and training needs associated with automation in the chemical sciences can be found in a recent report by the US National Academy of Sciences. 43 Incorporating automation technologies into pedagogical training is not inherently new, 44,45 but recent efforts have focused on training students in the combination of experimental hardware and planning algorithms 46,47 and on closely adjacent enabling technologies such as computer vision 48,49 and speech recognition. 50 In addition to producing a more technologically skilled workforce, this also provides an opportunity to create a more inclusive scientic workforce, as laboratory automation can remove barriers for students with visual or physical disabilities.…”
Section: Engaging New Experimental Capabilities and Generating Data A...mentioning
confidence: 99%
“…A discussion of the opportunities and training needs associated with automation in the chemical sciences can be found in a recent report by the US National Academy of Sciences. 43 Incorporating automation technologies into pedagogical training is not inherently new, 44,45 but recent efforts have focused on training students in the combination of experimental hardware and planning algorithms 46,47 and on closely adjacent enabling technologies such as computer vision 48,49 and speech recognition. 50 In addition to producing a more technologically skilled workforce, this also provides an opportunity to create a more inclusive scientic workforce, as laboratory automation can remove barriers for students with visual or physical disabilities.…”
Section: Engaging New Experimental Capabilities and Generating Data A...mentioning
confidence: 99%
“…Further examples of the development of accessible resources in chemistry include building in flexibility and choice within the program, 39 , 41 using 3-dimensional tactile models, 42 , 43 applying computer vision to laboratory operations such as titrations, 44 using software to describe chemical phenomena such as color changes, 45 and using QR code labels and audio commentaries for commonly used chemistry laboratory apparatus. 46 …”
Section: Recommendationsmentioning
confidence: 99%
“…Digital images acquired using electronic devices were also used for pH evaluation, titration, investigation of friction and wetting, quantifications of abasic sites within DNA nucleotides, measurement of the contact angle, , quantification of surface protein adsorption, measurements of liquid binary diffusivities, measurement of fluorescence quenching, explorations of chemical kinetics, finding p K a values . and lateral flow assays …”
Section: Introductionmentioning
confidence: 99%