Table 1 Summary of optical sectioning techniques

From: Optical sectioning methods in three-dimensional bioimaging

Optical path setting

principle

Technique

Type

R*/ μm

SBR/dB

Through-Put*/ Mpx/s

Speed */ mm2/s

Advantages

Disadvantages

Applications

Coaxial imaging

Focal plane conjugation

Confocal

Conventional191

0.22

12

7.9

0.16

Flexible OS

Low scanning speed

Local fine imaging of biological tissue

Deep learning32

0.12

/

12

0.17

High throughput

Long training time

Organelle interactions

ISM192

0.12

/

1.2

0.08

High resolution

Low scanning speed

Cellular structures imaging

Spinning disk193

/

0.51

/

419

2.8

High throughput

Crosstalk

Intravital imaging

Line confocal26

/

0.42

6.3

4915

27

High scanning speed

Low OS

Whole slide imaging

Intra-focal excitation

Two-photon

Conventional58

1.2

1

7.9

0.16

Deep penetration

High light bleaching

 

Multi-focus62

1.4

/

200

0.19

High throughput

Severe tissue scattering

 

Line scanning69

0.77

5.5

98

8.5

High throughput

Severe tissue scattering

Intravital imaging

Wide field74

0.61

/

419

9.9

(10X)

Dynamic observation

 

TRIF80

/

0.21

/

419

0.11

(100X)

High axial resolution

Depth Limitation

Organelle interactions

Modulated illumination

SIM

OS-SIM85

0.39

12

69

2.1

Low phototoxicity

Illumination pattern sensitive

Large sample imaging

SR-SIM with PSF engineering94

0.09

/

140

0.09 (100X)

High resolution

Manual adjustment

Cellular structures imaging

TRIF-SIM80

0.10

/

70

0.08

(100X)

High OS

Depth limitation

 

3D SIM96

0.10

/

28

0.05

(100X)

3D super-resolution with high OS

Strict for optical alignment

 

Scanning SIM194

0.10

/

/

/

High quality in modulation

Low scanning speed

 

Deep-learning SIM105

0.52

12

419

2.8

Low noise levels

Large training data

Tissue imaging

HiLo

Conventional86

0.41

19

209

2.6

High temporal resolution

Long post-processing time

Intravital imaging

Line-scanning HiLo116

7.5

25

23

/

High scanning speed

Long post-processing time

 

Off-axis imaging

Mixed detection

Light sheet

SPIM195

0.68

3.7

25

1.4

Low phototoxicity

Heterogeneous

OS

Clear tissue imaging

Bessel light sheet74

0.68

/

11

0.81

Large thin illumination

Sample size limitation

 

iSPIM136

0.52

/

32

6.4

Isotropic resolution

Objective limitation

Clear thick tissue

imaging

siSPIM153

0.45

/

248

17

No size limitation

Low energy efficiency

Large, clear, thick tissue

DSIM16

/

0.45

/

53

5.0

High quality in modulation

Redundant acquisition

Whole slide imaging

Separated detection

DHiLo17

/

0.44

/

53

5.0

High robustness

Long post-processing time

Whole slide imaging

LiMo7

/

0.39

26

53

5.0

High OS

Redundant acquisition

Whole brain imaging

  1. *Note that throughput depends on the effective pixel update rate of the camera, which is calculated based on the data reported in the article. Speed is the ratio of imaging area to time, including exposure, data processing, storage, and field-of-view transition time, which is estimated by imaging a 10 mm × 10 mm sample with a field-of-view transition time of 0.15 s. R and Mpx/s represent resolution and Mpixel/s, respectively. SBR represents the signal-to-background ratio. OS represents optical sectioning strength. ‘/’ denotes parameters not reported in the article