CV8000 High-Throughput System

High content analysis software CellPathfinder is updated.
Deep Learning option is released.๏ผšAbout Deep learning

CV8000์€ ์žฅ๊ธฐ๊ฐ„์— ๊ฑธ์ณ ์„ธํฌ์˜ ๋ฐ˜์‘์„ ์‰ฝ๊ฒŒ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ธํฌ ๋ฐฐ์–‘๊ธฐ์˜ ๋ฐ€ํ ์„ค๊ณ„๊ฐ€ ๊ฐœ์„ ๋œ ํŠน์ง•์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ CV8000์—๋Š” ๋ ˆ์ด๋ธ”์ด ์ง€์ •๋˜์ง€ ์•Š์€ ์„ธํฌ์˜ ์ด๋ฏธ์ง€์™€ ์ƒ˜ํ”Œ์˜ 3D ์ด๋ฏธ์ง€๋ฅผ ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ํ”„๋กœ๊ทธ๋žจ์ธ CellPathfinder๊ฐ€ ํ•จ๊ป˜ ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ธฐ๋Šฅ์„ ํ†ตํ•ด CV8000์€ iPS ๋ฐ ES ์„ธํฌ์™€ ๊ฐ™์€ ์ตœ์ฒจ๋‹จ ์ฃผ์ œ์— ๋Œ€ํ•œ ์•ฝ๋ฌผ ๋ฐœ๊ฒฌ ์—ฐ๊ตฌ ๋ฐ ์ƒ๋ฌผ ์˜ํ•™ ์—ฐ๊ตฌ์˜ ํšจ์œจ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ต๋‹ˆ๋‹ค.

CV8000 System Highlights

Excitation laser wavelength 405nmใ€445nmใ€488nmใ€561nmใ€640nm
Illumination source Laser
Objective lens 2x to 60x
(Dry, Phase contrast, Water immersion, Long working distance)
Camera High-sensitivity sCMOS camera (up to 4 units)
Autofocus Laser-based mode, image-based mode
Software CellPathfinderใ€CellLibrarian

 

Introduction

Valley of death

์‹ ์•ฝ ๊ฐœ๋ฐœ ์‹œ์žฅ์—์„œ ์„ธํฌ ๊ธฐ๋ฐ˜ ๋ถ„์„ ๋ฐ phenotypic screening์˜ ํ•„์š”์„ฑ์— ๋”ฐ๋ผ ์•ฝํšจ ํ‰๊ฐ€๋ฅผ ์œ„ํ•œ ๊ณ ํ•จ๋Ÿ‰ ๋ถ„์„ ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์Šคํฌ๋ฆฌ๋‹ ํšจ์œจ์„ ๋†’์ด๋ ค๋ฉด ๋” ๋น ๋ฅธ ์†๋„(๋” ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰)๋ฅผ ๊ฐ€์ง„ ์žฅ์น˜๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
๋ฐ˜๋ฉด์—, ์‹ ์•ฝ ๊ฐœ๋ฐœ ๊ณผ์ •์˜ ' valley of death '์„ ์ž‡๊ธฐ ์œ„ํ•ด์„œ๋Š” ์Šคํฌ๋ฆฌ๋‹ ์ ์ค‘์˜ ์งˆ์„ ๋†’์—ฌ์•ผ ํ•ฉ๋‹ˆ๋‹ค.
์ด๋ฅผ ์œ„ํ•ด์„œ๋Š” 3D ๋ฐฐ์–‘ ์‹œ์Šคํ…œ, ๋ผ์ด๋ธŒ ์…€ ์ด๋ฏธ์ง• ๋ฐ ๋ณด๋‹ค ์„ธ๋ถ€์ ์ธ ์ด๋ฏธ์ง€ ๋ถ„์„์„ ํ†ตํ•ด ๋‹ค๊ฐ์ ์ธ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ํ™œ์šฉํ•˜๋Š” ๋ณด๋‹ค ๋ณต์žกํ•œ ํ‰๊ฐ€ ์‹œ์Šคํ…œ์˜ ๊ตฌ์ถ•์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
ํ˜„์žฌ ์˜์•ฝํ’ˆ ๊ฐœ๋ฐœ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฒ˜๋ฆฌ๋Ÿ‰ ์Šคํฌ๋ฆฌ๋‹๊ณผ ๋ณตํ•ฉ ํ‰๊ฐ€ ์‹œ์Šคํ…œ ์Šคํฌ๋ฆฌ๋‹์„ ๋ณ‘ํ–‰ํ•˜์—ฌ ์–ด๋–ป๊ฒŒ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•œ ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค.

Solution

CellVoyager CV8000์€ ์ด๋Ÿฌํ•œ ๋ชจ์ˆœ๋œ ์Šคํฌ๋ฆฌ๋‹ ์ง๋ฉด ๊ณผ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ํ•˜์ด์—”๋“œ, ๊ณ ํ•จ๋Ÿ‰ ๋ถ„์„ ์‹œ์Šคํ…œ์ž…๋‹ˆ๋‹ค.
Yokogawa์˜ ๊ณ ์œ  ๊ธฐ์ˆ ์ธ ๊ณ ์† ๊ณต์ดˆ์  ์Šค์บ๋„ˆ, water immersion ๋ Œ์ฆˆ, ์ตœ๋Œ€ 4๋Œ€์˜ high field-of-vision ์นด๋ฉ”๋ผ, ์„ธํฌ ๋ฐฐ์–‘ ํ™˜๊ฒฝ์ด ๊ฐœ์„ ๋œ microscopic stage, ํ†ตํ•ฉ ๋กœ๋ด‡ pipetter์˜ ๊ฒฐํ•ฉ์„ ํ†ตํ•ด ์šฐ๋ฆฌ๋Š” ๊ณ ํ•ด์ƒ๋„ ์˜์ƒ์„ ๋ฐ”ํƒ•์œผ๋กœ ๋น ๋ฅธ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ์‹คํ˜„ํ•  ์ˆ˜ ์žˆ์„ ๋ฟ๋”๋ผ ๋” ๋ณต์žกํ•œ ํ‰๊ฐ€ ์‹œ์Šคํ…œ์„ ํ†ตํ•œ phenotypic screening์„ ์‹คํ˜„ํ•ด ๋ƒˆ์Šต๋‹ˆ๋‹ค.
๋˜ํ•œ ๋‹น์‚ฌ์˜ ์ „๋ฌธ ๋ถ„์„ ์†Œํ”„ํŠธ์›จ์–ด์ธ CellPathfinder๋Š” deep leaning ๋ฐ machine learning์„ ์‚ฌ์šฉํ•˜์—ฌ ๋Œ€์ƒ ๋ฌผ์ฒด๋ฅผ ๋†’์€ ์ •ํ™•๋„๋กœ ์ธ์‹ํ•˜๋ฉฐ ์ด๋ฏธ์ง€ ๋ถ„์„์—์„œ ๊ทธ๋ž˜ํ”„๋ฅผ ์‚ฌ์šฉํ•œ ๊ฒฐ๊ณผ ํ‘œ์‹œ๊นŒ์ง€ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

Yokogawa์˜ ์žฅ์ 

  • ๊ณต์ดˆ์  ์Šค์บ๋„ˆ ์žฅ์น˜
  • Live/kinetic ์‹คํ—˜ ํ˜ธํ™˜ ๊ฐ€๋Šฅ
  • ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰
  • ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š”, ๊ฒ€์ฆ๋œ ๊ธฐ์ˆ 

๋ฏธ์ง€์˜ ์„ธ๊ณ„๋กœ์˜ ํƒํ—˜

Real time confocal, label-free imaging

Long-term liv e c ell imaging

Long-term livecell imaging

Stage incubator ๊ธฐ๋ณธ ํฌํ•จ. ์Šต๋„, ์˜จ๋„, CO2 ์ œ์–ด๋ฅผ ํ†ตํ•œ ๋…ผ์Šคํ†ฑ ์žฅ๊ธฐ ๊ด€์ฐฐ(3์ผ ์ด์ƒ).

Left๏ผšBefore incubationใ€€Right๏ผšAfter 68 hours incubation

Kinetic assay

Kinetic assay

์ด๋ฏธ์ง• ์ดฌ์˜ ์ค‘ ์•ฝ๋ฌผ ์ถ”๊ฐ€๋Š” ์ผํšŒ์šฉ ํŒ์ด ์žˆ๋Š” ํ†ตํ•ฉ ๋กœ๋ด‡ pipetter๋ฅผ ํ†ตํ•ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.
๋น ๋ฅธ ๋ณ€ํ™” ํ˜„์ƒ์„ ๊ด€์ฐฐํ•˜๋Š” ๋™์—ญํ•™(kinetic) ์‹คํ—˜์— ์ ํ•ฉ.

Left๏ผšBefore incubationใ€€Right๏ผšAfter stimulation

Organoid / Spheroid

Organoid / Spheroid

Yokogawa์˜ ํšŒ์ „ ๋””์Šคํฌ ๊ณต์ดˆ์  ๊ธฐ์ˆ ์€ ์„ ๋ช…ํ•˜๋ฉด์„œ ๋น ๋ฅธ ์ด๋ฏธ์ง€๋ฅผ ์–ป๊ธฐ ์–ด๋ ค์šด 3D ๋ฐฐ์–‘ ์ƒ˜ํ”Œ๊ณผ ๊ฐ™์ด ๊นŠ์ด๊ฐ€ ์žˆ๋Š” ์ƒ˜ํ”Œ๋“ค์˜ ์ด๋ฏธ์ง•์— ํƒ์›”ํ•˜์—ฌ ์ƒ์ฒด ๋‚ด ํ’ˆ์งˆ์— ๊ฐ€๊นŒ์šด ํ‰๊ฐ€๊ฐ€ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.

Left๏ผšOriginal imageใ€€Right๏ผšRecognition image

Label-free analysis

Label-free analysis

์—ฌ๋Ÿฌ ๊ณณ์˜ Z ์œ„์น˜์—์„œ ๋ฐ์€ ํ•„๋“œ ์ด๋ฏธ์ง€๋ฅผ ๊ฐ€์ ธ์˜ค๊ณ  ์žฅ๋น„์— ํฌํ•จ๋œ CellPathfinder ๋ถ„์„ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ CE ๋ฐ์€ ํ•„๋“œ ์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•˜์—ฌ ์ธ์‹ ๋ฐ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Left๏ผšCE Bright Fieldใ€€Right๏ผšCell Recognition image

Details

์›ํ•˜๋Š” ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” State-of-the-art technology

์…€์„ ์žˆ๋Š” ๊ทธ๋Œ€๋กœ ๊ด€์ฐฐ -Dual spinning disk confocal system-

Dual spinning disk confocal system

๊ด€์ฐฐ ์˜์—ญ์—์„œ ์•ฝ 1,000๊ฐœ์˜ ๋ ˆ์ด์ € ๋น”๊ณผ ๊ณ ์†์œผ๋กœ ํšŒ์ „ํ•˜๋Š” ํƒ ๋ค ๋””์Šคํฌ(tandem disks)๋ฅผ ํ™œ์šฉํ•˜๋Š” Yokogawa ๊ณ ์œ ์˜ multi-scan ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ๋””์Šคํฌ๋Š” ๋‚˜์„ ํ˜• ํŒจํ„ด์œผ๋กœ ๋™์ผํ•˜๊ฒŒ ๋ฐฐ์—ด๋œ ์•ฝ 20,000๊ฐœ์˜ ํ•€ํ™€์ด ์žˆ๋Š” ํ•€ํ™€ ์–ด๋ ˆ์ด ๋””์Šคํฌ์™€ excitation light laser ๋ ˆ์ด์ €๋ฅผ ๊ฐœ๋ณ„ ํ•€ํ™€์— ์ง‘์ค‘์‹œํ‚ค๋Š” ๋งˆ์ดํฌ๋กœ๋ Œ์ฆˆ ์–ด๋ ˆ์ด ๋””์Šคํฌ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๊ณ ์† ์ด๋ฏธ์ง•์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ด‘๋…์„ฑ(phototoxicity) ๋ฐ ํ˜•๊ด‘ ํ‘œ๋ฐฑ(fluorescence photobleaching)์„ ํฌ๊ฒŒ ๋ฐฉ์ง€ํ•ฉ๋‹ˆ๋‹ค.

๋” ๊นŠ๊ฒŒ, ๋” ์„ ๋ช…ํ•˜๊ฒŒ -Pinhole disk exchanger-

Pinhole disk exchanger
 
Pinhole disk exchanger

์ƒ˜ํ”Œ์— ๋”ฐ๋ผ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์˜ ํ•€ํ™€ ๋””์Šคํฌ(25/50μm)๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‘๊บผ์šด ์ƒ˜ํ”Œ์˜ ๊ฒฝ์šฐ ํ•€ํ™€ ์ง๊ฒฝ์„ ์ค„์ด๋ฉด ๋” ๋†’์€ ๊ณต์ดˆ์ , ๋” ์„ ๋ช…ํ•œ ์ด๋ฏธ์ง€๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์–ด๋‘์šด ์ƒ˜ํ”Œ์˜ ๊ฒฝ์šฐ ํ•€ํ™€ ์ง๊ฒฝ์„ ๋Š˜๋ฆฌ๋ฉด ์ด๋ฏธ์ง€๊ฐ€ ๋” ๋ฐ์•„์ง‘๋‹ˆ๋‹ค.

Organoid imaging exampleใ€€Upper๏ผš25μm pinholeใ€€Lower๏ผš50μm pinhole

๋” ๋†’์€ screening ์ฒ˜๋ฆฌ๋Ÿ‰ -Optical configuration-

Optical configuration

๋ชฉ์ ์— ๋”ฐ๋ผ ๊ด‘ํ•™ ์‹œ์Šคํ…œ ๊ตฌ์„ฑ์„ ์„ ํƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 4๊ฐœ์˜ ๊ณ ๊ฐ๋„ ๊ด‘์‹œ์•ผ(wide -field) sCMOS ์นด๋ฉ”๋ผ๋ฅผ ๋ถ€์ฐฉํ•˜์—ฌ ๋‹จ์ผ 96-well plate๋ฅผ 1๋ถ„ ๋‚ด์— 4๊ฐ€์ง€ ์ƒ‰์ƒ์˜ ์ด๋ฏธ์ง• ๊ตฌํ˜„์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ์ด ์‹œ์Šคํ…œ์€ FRET ๋ฐ CellPainting ๋ถ„์„๊ณผ๋„ ํ˜ธํ™˜ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.

๋” ๋ฏธ์„ธํ•œ ๊ตฌ์กฐ Capturing -Original water immersion lens-

water immersion lens

Water immersion lenses๋Š” ์•ก์ฒด ๋‚ด ์„ธํฌ์˜ ๊ณ ํ•ด์ƒ๋„ ์ด๋ฏธ์ง€๋ฅผ ์บก์ฒ˜ํ•˜๋Š” ๋ฐ ํƒ์›”ํ•ฉ๋‹ˆ๋‹ค. CV8000์—๋Š” 40x ๋˜๋Š” 60x water immersion objective lens ๋ฅผ ์žฅ์ฐฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹น์‚ฌ์˜ 40x ๋ Œ์ฆˆ๋Š” ๊ณ ๋„์˜ ๊ตฌ๋ฉด ์ˆ˜์ฐจ ๋ณด์ •์ด ๊ฐ€๋Šฅํ•œ ํŠน๋ณ„ํ•˜๊ณ  ๋…ํŠนํ•œ ๋ Œ์ฆˆ๋กœ์จ ์ „์ฒด ๊ด‘์‹œ์•ผ(wide -field )์—์„œ ๋ฐ์€ ๊ณ ํ•ด์ƒ๋„ ์ด๋ฏธ์ง€๋ฅผ ์บก์ฒ˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ Œ์ฆˆ ๊ธ‰์ˆ˜๊ธฐ๋Šฅ ๋˜ํ•œ ์™„์ „ํžˆ ์ž๋™ํ™”๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์žฅ๋น„๋Š” water submersion lens๋ฅผ ํ†ตํ•ด ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰ ์Šคํฌ๋ฆฌ๋‹์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค.

Capturing live cell movement -High-precision incubator and robot pipetter-

robot pipetter

๋ฐ€ํ ๊ตฌ์กฐ๋กœ ์„ค๊ณ„๋œ ์Šคํ…Œ์ด์ง€ ์ธํ๋ฒ ์ดํ„ฐ(stage incubator)๋Š” ์Šต๋„, ์˜จ๋„ ๋ฐ CO2 ๋ ˆ๋ฒจ์„ ๊ด€๋ฆฌํ•ฉ๋‹ˆ๋‹ค. ํ†ตํ•ฉ robotic pipetter ๋Š” ๋‹ค์Œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์™„์ „ ์ž๋™์œผ๋กœ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค: ํŒ ํ”ฝ์—… → ์‹œ์•ฝ ํ”Œ๋ ˆ์ดํŠธ์—์„œ ์‹œ์•ฝ ์ˆ˜์ง‘ → ์ƒ˜ํ”Œ ํ”Œ๋ ˆ์ดํŠธ์— ์‹œ์•ฝ ์ถ”๊ฐ€ → ํŒ ํ๊ธฐ. ์‹œ์•ฝ ์ฃผ์ž… ์ „ํ›„์˜ ์ด๋ฏธ์ง€๋ฅผ ๋น ๋ฅด๊ฒŒ ์–ป์„ ์ˆ˜ ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋‹จ์ผ ์›ฐ(wells)์— ์—ฌ๋Ÿฌ ๋ฒˆ ์‹œ์•ฝ์„ ์ถ”๊ฐ€ํ•˜๊ณ  ์ถ”๊ฐ€ ์†๋„ ๋“ฑ๋„ ์กฐ์ • ๊ฐ€๋Šฅํ•˜์—ฌ ์‹œ์•ฝ ์ฃผ์ž…์— ๋”ฐ๋ฅธ ์—ญํ•™ ๊ด€์ฐฐ ๋ฒ”์œ„๋ฅผ ๋„“ํž ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

A more live cell-friendly total HCA system

Making long-duration live -cell imaging possible -์•ˆ์ •์ ์ธ ๋‚ด์žฅํ˜• stage incubator ํƒ‘์žฌ

HeLa ์„ธํฌ๋ฅผ 96 well plate์— ์›ฐ ๋‹น 500๊ฐœ์˜ ์„ธํฌ ๋ฐ€๋„๋กœ seedingํ•˜๊ณ  24์‹œ๊ฐ„ ๋™์•ˆ ๋ฐฐ์–‘ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๊ทธ ํ›„, ์›ฐ ํ”Œ๋ ˆ์ดํŠธ๋ฅผ ์žฅ๋น„ ๋‚ด๋ถ€ ์Šคํ…Œ์ด์ง€ ์ธํ๋ฒ ์ดํ„ฐ์— ๋†“๊ณ  72์‹œ๊ฐ„ ๋™์•ˆ ์„ธํฌ ๋ฐฐ์–‘์„ ์ง„ํ–‰ํ•˜๊ณ  ์„ธํฌ๊ฐ€ ์ฐจ์ง€ํ•˜๋Š” ์ „์ฒด ๋ฉด์ (์ดํ•˜ ์ด ๋ฉด์ )์„ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์ผ๋ฐ˜ CO2 ์ธํ๋ฒ ์ดํ„ฐ์™€ ๋น„๊ตํ•ด ๋ดค์„ ๋•Œ์—๋„ 96์›ฐ(4๊ฐœ์˜ ์ฝ”๋„ˆ ์›ฐ ์ œ์™ธ)์—์„œ ์„ธํฌ ์ฆ์‹์˜ ๋ถˆ๊ท ์ผ์ด ์ตœ์†Œํ•œ์œผ๋กœ ๊ด€์ฐฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Cell multiplication comparison with regular CO<sub>2</sub> incubator after 72hr incubation

Cell multiplication comparison with regular CO2 incubator after 72hr incubation๏ผˆn=3๏ผ‰

  • 96 well average: 90
  • Average of outermost 36 wells: 81
  • Average of 60 wells (excl. outermost): 96

The values represent the following: CV8000 Total Area after 72hrs / Total Area at 0hrs (hereinafter Total Area ratio) / CO2 incubator Total Area ratio x 100.
(Numbers near to 100 me an that cell multiplication was approximately equal for the CV8000 and CO2 incubator.)
Cell multiplication near to that of the CO2 incubator was verified, excluding the four corner wells.

Cell multiplication curves for each well of a 96-well plate

Cell multiplication curves for each well of a 96-well plate

  • Vertical axis: Total Area
  • Horizontal axis: Time (0-72 hours)

Cell multiplication was low in the four corner wells; however, it continued in the other wells.ใ€‚

Total Area ratio after cultivation start

Total Area ratio after cultivation start (24, 48 and 72 hours) (n=3)

Excluding the four corner wells, even after 72 hours, there were no large differences in cell multiplication.
The low variation in cell multiplication speed across the wells can 24 hours 48 hours 72 hours be seen.

More infoใ€€Evaluation of cell-culture condition in CV8000’s internal stage incubator

์‹œ์Šคํ…œ ํ†ตํ•ฉ

๋ฐฐ์–‘ ํ™˜๊ฒฝ๋ถ€ํ„ฐ transfer, ์ด๋ฏธ์ง•, ๋ถ„์„, ๋ฐ์ดํ„ฐ ๊ด€๋ฆฌ๊นŒ์ง€ ์ค‘์•™ ์ง‘์ค‘์‹ ๊ด€๋ฆฌ๊ฐ€ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.
๊ณ ๊ฐ์˜ ์š”๊ตฌ์— ๋งž์ถฐ ์ตœ์ ์˜ ํ†ตํ•ฉ ์‹œ์Šคํ…œ์„ ์ œ๊ณตํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

System Integration

High Content Analysis Softwareใ€€CellPathfinder

CellPathfinder ์†Œํ”„ํŠธ์›จ์–ด๋Š” CV8000์œผ๋กœ ์ดฌ์˜ํ•œ ์ด๋ฏธ์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ๊ทธ๋ž˜ํ”„๋ฅผ ์ƒ์„ฑํ•˜๋ฉฐ ๋‹ค์–‘ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฐ์ถœํ•ด ๋ƒ…๋‹ˆ๋‹ค. ํ’๋ถ€ํ•œ ํ…œํ”Œ๋ฆฟ๊ณผ ์œ ์—ฐํ•œ ํ”„๋กœํ† ์ฝœ ํŽธ์ง‘ ๊ธฐ๋Šฅ ๋•๋ถ„์— ์ดˆ๋ณด์ž๋‚˜ ์ „๋ฌธ๊ฐ€ ๋ชจ๋‘ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. CE ๋ช…์‹œ์•ผ(bright field) ๋ฐ ๊ธฐ๊ณ„ ํ•™์Šต ๊ธฐ๋Šฅ์„ ํ†ตํ•ด label-free ๋ถ„์„์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ๋”ฅ๋Ÿฌ๋‹ ์˜ต์…˜๋„ ์ถ”๊ฐ€๋˜์–ด ์…€ ์ธ์‹ ์ •ํ™•๋„๊ฐ€ ํฌ๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

More infoใ€€High Content Analysis Softwareใ€€CellPathfinder

Just click the menu item for analysis

Just click the menu item for analysis

Simply follow the flow displayed at the top of the screen. The analysis menu has easy-to-understand icons. Simply click the desired menu item and the protocol will load.

Fast results for immediate verification and study

Fast results for immediate verification and study

Computed numeric data can be displayed in a variety of ways. Graph plots and cell images are linked, making for easy result verification and inquiry.

Unbiased phenotype evaluation via AI

Unbiased phenotype evaluation via AI

Machine-learning also provides bias-free digitization of visually-evaluated experiments. Automatic recognition is made possible simply by clicking the shape you want the software to learn.

Label-free phenotype analysis

Label-free phenotype analysis

Eliminates the time, cost and influence on cells associated with cell labelling. Even higher precision classification is made possible through combination with deep learning.

Specifications

High-throughput Cytological Discovery System

Model CV8000
Sample format Multiple well plate (6, 12, 24, 48, 96, 384, 1536 wells), glass slide
Image mode Confocal mode: max. 4 color simultaneous recording
Bright field/phase contrast (10x, 20x for 6, 12, 24 well plates), digital phase contrast (10x, 20x)
Output data format Image data: 16bit TIFF, PNG
umerical data: CSV, original format
Excitation wavelength 405/445/488/561/640 nm, all solid laser, max. 5 lasersใ€€
ใ€Optionใ€‘365 nm LED
White light illumination LED
Autofocus Laser-based mode, image-based mode
Objectives Max. 6 lenses are available, automatically switchable
Dry: 2x, 4x, 10x, 20x, 40x Water immersion: 20x, 40x, 60x
hase contrast: 10x, 20x Long working distance: 20x
Confocal unit Microlens-enhanced wide-view dual Nipkow disk confocal scanner, 50 μm pinhole
ใ€Optionใ€‘ 25 μm pinhole disk and auto pinhole disk exchanger
Camera sCMOS (effective pixels: 2000X2000 pixel size: 6.5 μm),ใ€€max. 4 cameras
Stage incubator Temperature for incubation : 35-40โ„ƒ CO2 supply box (CO2: 5%, forced humidification)

Robot pipetter

ใ€Optionใ€‘ Disposable tip type (96tip or 384tip type)
Bar code reader ใ€Optionใ€‘ 1 or 2 dimension
Workstations Dual-monitor work station for system control, dual-monitor work station for data analysis
Analysis software High Content Analysis Software CellPathfinder
Granularity, Neurite, Nuclear morphology, Nuclear translocation, Plasma membrane translocation, Machine learning, Label-free analysis, 3D analysis, Deep Learning, etc.
Operating environment 15๏ฝž30โ„ƒ 30๏ฝž70%RH (no condensation)
Power supply Measurement unit:AC100-240V, 50/60Hz, 2KVA max
Workstation for system control:AC100-240V, 50/60Hz, 1.3KVA max
Workstation for data analysis:AC100-240V, 50/60Hz, 950VA max
Dimensions Measurement unit: W1,280×D895×H1,450 mm
Weight Measurement unit: 510Kg

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CV8000 Partner

North America, Europe

WAKO Automation USA, Inc.

WAKO Automation USA, Inc.
Recommended vendor for High Content Screening integration and automation solutions.

 

Asia

Shanghai Genesci Medical technology

Shanghai Genesci Medical technology Co.,Ltd.
People's Republic of China (excluding Hong Kong, Taiwan, Macao)


CHAYON Laboratories
Republic of Korea (South Korea)

 

Oceania

TrendBio

TrendBio
Australia, New Zealand

  • CellLibrarian

    CellLibrarian์€ Yokogawa CellVoyager ์‹œ๋ฆฌ์ฆˆ๊ฐ€ ์ˆ˜์ง‘ํ•œ ๋Œ€๋Ÿ‰์˜ ์ด๋ฏธ์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ๊ด€๋ฆฌํ•˜๋Š” ๊ฐ•๋ ฅํ•œ ์†”๋ฃจ์…˜์ž…๋‹ˆ๋‹ค.

    See More

์ž๋ฃŒ์‹ค

Overview:

The CV8000 nuclear translocation analysis software enables the analysis of changes in the localization of signal molecules that transfer between cytoplasm and nuclei, such as proteins. The following is an example of the translocation analysis of NFκB, a transcription factor.

Application Note
Application Note
Application Note
Yokogawa Technical Report
1.2 MB
Yokogawa Technical Report
2.2 MB
Overview:

List of Selected Publications : CV8000, CV7000, CV6000

Downloads

๋™์˜์ƒ

Product Overview
Overview:

The CV8000 features a cell incubator with an improved airtight design that facilitates the observation of cell behavior over long periods of time. In addition, the CV8000 comes with CellPathfinder, a new program that can analyze images of unlabeled cells and 3D images of samples. With these features, the CV8000 improves the efficiency of drug discovery research and biomedical research on leading-edge subjects such as iPS and ES cells.

Overview:

YOKOGAWA will contribute to technology evolution particularly in measurement and analytical tools to help build a world where researchers will increasingly focus on insightful interpretation of data, and advancing Life Science to benefit humanity.

๊ธฐ์ˆ  ๋ฐ ์†”๋ฃจ์…˜, ์š”๊ผฌ๊ฐ€์™€์— ๋Œ€ํ•œ ์ž์„ธํ•œ ์ •๋ณด๋ฅผ ์ฐพ๊ณ  ๊ณ„์‹ญ๋‹ˆ๊นŒ?

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